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Principal Software Engineering Manager Hyderabad, Telangana, India Date posted Aug 08, 2025 Job number 1858200 Work site Up to 50% work from home Travel None Role type People Manager Profession Software Engineering Discipline Software Engineering Employment type Full-Time Overview Are you a customer-obsessed, AI-curious problem-solver who thrives in an inclusive, collaborative global team? The Azure CXP team’s mission is to transform Microsoft Cloud customers into fans. Through our deep engineering engagements with customers and teams across Microsoft, we analyze and amplify customer needs and drive the vision to improve Cloud quality, security, and reliability. Our culture of growth mindset and empowerment are central to who we are and how we work. We are customer-obsessed problem-solvers. We orchestrate deep engagements in areas like incident management, support, and enablement. We analyze and amplify those customer voices, both within our own team, and across the Cloud + AI team, bringing the customer connection to the Quality vision for Azure. We innovate ways to scale what we learn across our customer base. Diversity and inclusion are central to who we are, how we work, and what we enable our customers to achieve. We know that empowering our customers starts with empowering our team to show up authentically, work in ways that are best for them, and achieve their career goals. Azure Reliability team is a multidisciplinary engineering organization part of CXP dedicated to making, “Azure the safest and most reliable Cloud”. We are the Azure Reliability team; a multidisciplinary engineering organization committed to making Azure the world’s safest and most reliable cloud. For Azure’s most critical services and products, we apply a Site Reliability Engineering (SRE) approach. Our software engineers work closely with product teams to enhance availability, reliability, observability, and operability across our planet-scale systems. We prioritize long-term platform improvements through engineering over repetitive manual tasks. Increasingly, we leverage AI to amplify our ability to scale reliability across Azure. Our teams contribute to product architecture, share knowledge and code, and focus on building reusable solutions that benefit multiple teams and services. As the SRE discipline evolves, we continuously learn from industry peers and contribute to its advancement by innovating within our group and sharing our insights publicly. Our team brings diverse professional backgrounds, both traditional and non-traditional, and we’re committed to growing diversity. We believe that an inclusive environment where everyone feels safe to contribute leads to better teams, better products, and a better workplace. We’re not looking for people who know it all; we’re looking for those eager to learn it all. If you thrive on collaboration, embrace challenges, and see mistakes as opportunities to grow, we’d love to meet you. Every day, our customers stake their business and reputation on our cloud. You can help #AzCXP provide our customers with the world-class cloud services they need to succeed. Company Culture Statement Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Bachelor's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. OR equivalent experience working with large-scale distributed systems (e.g., cloud computing providers, SaaS services, etc., ideally with millions or billions of users) or similarly complex environments. Awareness of, and ability to reason about, modern distributed software design patterns and cloud systems architecture, including microservices, containers, load-balancing, queuing, caching. Experience with C#/Java/C/C++/Golang. Experience in building, shipping and operating reliable solutions. Preferred Qualifications Familiarity with modern distributed software design patterns and cloud systems architecture, including microservices, containers, load balancing, queuing, caching. Experience as a technical lead or engineering manager. Experience working on large and unfamiliar codebases (millions of lines of code). Experience with open-source projects, Kubernetes, Linux and containers is desired. Proven track record in building, shipping, and operating reliable solutions. Proficiency in programming languages like C#/Java/Python. Experience with data technologies (SQL/NoSQL/etc.). Experience with Azure is a plus. Experience in AI adoption with tools like GitHub Copilot, Azure OpenAI and custom copilots to streamline development and reduce toil. #AZCXP #AzRelJobs Responsibilities Billions of users across the world rely on our products, and to meet this demand we design and implement world-class distributed systems. As a Software Engineer in one of our Azure SRE teams, you will be responsible for improving the reliability of key Azure products. The Azure SRE key focus areas are: Defining system reliability goals through Service Level Objectives (SLOs). Enhancing production posture with targeted improvements in observability and operability (telemetry, alerting, incident/change management, safe deployment practices). Building reusable automation and processes that help multiple teams meet their reliability goals. Influencing product architecture and roadmaps to ensure customer-experienced reliability is a core design principle. Contributing directly to product code to achieve reliability outcomes. Leveraging AI to proactively detect anomalies, predict incidents, and automate operational workflows - scaling reliability efforts across complex systems. We are looking for engineers passionate about the above areas who are also interested in: Providing technical leadership across multiple Azure teams. Mentoring others on SRE principles, practices, and tools as well as AI usage to boost software development productivity. Designing and developing large-scale distributed software services and solutions. Delivering “best-in-class” engineering by ensuring services are modular, secure, reliable, testable, diagnosable, observable, and reusable. Collaborating with internal and external partners to support team goals. Balancing pragmatism with vision—driving continuous improvements in process and codebase. Building automation to prevent or remediate service issues before they impact users. Driving innovation in large-scale operations by applying cutting-edge AI tools and techniques to reduce operational toil and scale reliability engineering across complex systems. Gaining a working understanding of Microsoft businesses and contributing to cohesive, end-to-end user experiences. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Are you a customer-obsessed, AI-curious problem-solver who thrives in an inclusive, collaborative global team? The Azure CXP team’s mission is to transform Microsoft Cloud customers into fans. Through our deep engineering engagements with customers and teams across Microsoft, we analyze and amplify customer needs and drive the vision to improve Cloud quality, security, and reliability. Our culture of growth mindset and empowerment are central to who we are and how we work. We are customer-obsessed problem-solvers. We orchestrate deep engagements in areas like incident management, support, and enablement. We analyze and amplify those customer voices, both within our own team, and across the Cloud + AI team, bringing the customer connection to the Quality vision for Azure. We innovate ways to scale what we learn across our customer base. Diversity and inclusion are central to who we are, how we work, and what we enable our customers to achieve. We know that empowering our customers starts with empowering our team to show up authentically, work in ways that are best for them, and achieve their career goals. Azure Reliability team is a multidisciplinary engineering organization part of CXP dedicated to making, “Azure the safest and most reliable Cloud”. We are the Azure Reliability team; a multidisciplinary engineering organization committed to making Azure the world’s safest and most reliable cloud. For Azure’s most critical services and products, we apply a Site Reliability Engineering (SRE) approach. Our software engineers work closely with product teams to enhance availability, reliability, observability, and operability across our planet-scale systems. We prioritize long-term platform improvements through engineering over repetitive manual tasks. Increasingly, we leverage AI to amplify our ability to scale reliability across Azure. Our teams contribute to product architecture, share knowledge and code, and focus on building reusable solutions that benefit multiple teams and services. As the SRE discipline evolves, we continuously learn from industry peers and contribute to its advancement by innovating within our group and sharing our insights publicly. Our team brings diverse professional backgrounds, both traditional and non-traditional, and we’re committed to growing diversity. We believe that an inclusive environment where everyone feels safe to contribute leads to better teams, better products, and a better workplace. We’re not looking for people who know it all; we’re looking for those eager to learn it all. If you thrive on collaboration, embrace challenges, and see mistakes as opportunities to grow, we’d love to meet you. Every day, our customers stake their business and reputation on our cloud. You can help #AzCXP provide our customers with the world-class cloud services they need to succeed. Company Culture Statement Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Billions of users across the world rely on our products, and to meet this demand we design and implement world-class distributed systems. As a Software Engineer in one of our Azure SRE teams, you will be responsible for improving the reliability of key Azure products. The Azure SRE key focus areas are: Defining system reliability goals through Service Level Objectives (SLOs). Enhancing production posture with targeted improvements in observability and operability (telemetry, alerting, incident/change management, safe deployment practices). Building reusable automation and processes that help multiple teams meet their reliability goals. Influencing product architecture and roadmaps to ensure customer-experienced reliability is a core design principle. Contributing directly to product code to achieve reliability outcomes. Leveraging AI to proactively detect anomalies, predict incidents, and automate operational workflows - scaling reliability efforts across complex systems. We are looking for engineers passionate about the above areas who are also interested in: Designing and developing large-scale distributed software services and solutions. Delivering “best-in-class” engineering by ensuring services are modular, secure, reliable, testable, diagnosable, observable, and reusable. Collaborating with internal and external partners to support team goals. Balancing pragmatism with vision - driving continuous improvements in process and codebase. Building automation to prevent or remediate service issues before they impact users. Driving innovation in large-scale operations by applying cutting-edge AI tools and techniques to reduce operational toil and scale reliability engineering across complex systems. Gaining a working understanding of Microsoft businesses and contributing to cohesive, end-to-end user experiences. Qualifications Required Qualifications: Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience Preferred Qualifications : Familiarity with modern distributed software design patterns and cloud systems architecture, including microservices, containers, load balancing, queuing, caching. Proven track record in building, shipping, and operating reliable solutions. Proficiency in programming languages like C#/Java/Python. Experience with data technologies (SQL/NoSQL/etc.). Experience with Azure is a plus. Experience in AI adoption with tools like GitHub Copilot, Azure OpenAI and custom copilots to streamline development and reduce toil. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Job Title: Senior AI Engineer – Computer Vision & LLM Products Location: Gurugram / Delhi NCR (On-site) Job Type: Full-time Requirements: Education: Master’s degree in Artificial Intelligence, Machine Learning, Computer Science, or related field.Must know Fast Api and Kubernetes. Technical Expertise: Strong knowledge of all major AI/ML algorithms (supervised, unsupervised, reinforcement learning, deep learning). Proficiency with AI tools & frameworks (TensorFlow, PyTorch, Hugging Face, OpenAI, LangChain, etc.). Expertise in Computer Vision (object detection, image segmentation, tracking, OCR, etc.). Strong experience with Large Language Models (LLMs) – fine-tuning, prompt engineering, API integrations. Ability to design and develop end-to-end AI products from concept to deployment,orchestration. Good knowledge of Azure and AWS Work Style: Ability to work independently with minimal supervision. Strong problem-solving and analytical skills. Excellent communication and documentation abilities. Preferred: Candidates based in Gurugram or Delhi NCR only. Responsibilities: Design, develop, and implement advanced AI/ML solutions for real-world problems. Build production-ready computer vision and LLM-based applications . Research and integrate the latest AI tools and algorithms into product development. Collaborate with cross-functional teams to deliver AI-powered products. Optimize models for performance, scalability, and accuracy. Perks: Work on cutting-edge AI projects. Opportunity to lead product development. Collaborative and innovation-driven work culture. Job Type: Full-time Pay: ₹11,251.07 - ₹76,879.89 per month Work Location: In person

Focuz is a well-funded, early-stage startup on a mission to redefine video intelligence. We are building a next-generation platform that transforms raw video streams from any camera into structured, actionable insights. Moving beyond simple object detection, we are creating a system that understands context, behavior, and patterns, enabling businesses and consumers to make smarter decisions. We are a small, agile team of builders and innovators, and we're looking for foundational members to help us shape the future of video technology. We're looking for an Applied LLM Python Engineer to join our team at Focuz. We need specialist who can ship production code that leverages LLMs to analyze video footage in real-time, so it's not a research position. You'll be building systems that allow users to query security cameras using natural language and get intelligent insights about what's happening in their spaces. What You'll Be Doing: Writing Python code that orchestrates multiple LLMs to analyze video clips (15 seconds to 15 minutes) Building context injection systems that add business rules, schedules, and location-specific information to prompts Creating evaluation frameworks to measure if our LLMs are correctly identifying safety violations, suspicious behavior, or operational issues Optimizing costs by choosing the right model for each task (when to use GPT-4 vs Claude Haiku vs Llama) Building robust production systems that handle API failures, rate limits, and inconsistent model outputs Requirements: Strong Python engineering experience : ability to write clean, maintainable code for production-level applications, not just experimental notebooks. Production LLM experience : track record of shipping features with LLM APIs from major providers like OpenAI, Anthropic, and Google. Multi-modal expertise: understanding of how to work with models such as GPT-4V, including feeding them images and video frames. Context engineering skills: capability to structure large, complex prompts (50KB+) with effective examples, rules, and context. Evaluation mindset: A focus on metrics and the ability to build systems to measure and optimize LLM performance. Bonus points: Experience with video processing (OpenCV, FFmpeg); Knowledge of open-source LLMs and local deployment; Understanding of structured output generation (JSON mode, function calling); Experience with async Python and streaming responses. #focuz

Should be flexible for shift and location We are seeking a passionate and self-motivated Generative AI Developer with an interest in building intelligent solutions using Microsoft Azure AI Services. As part of our AI team, you will be trained in developing, deploying, and fine-tuning Generative AI applications using Azure OpenAI, Cognitive Services, and modern machine learning tools. Understanding of Generative AI and LLMs like GPT, and familiarity with Microsoft Azure AI services such as Azure Open AI, Cognitive Services, and Azure Functions. understand APIs, be comfortable with cloud tools like Azure Portal and Git, and show strong interest in AI/ML concepts, prompt engineering, and responsible AI practices. Problem-solving and debugging, Communication and collaboration, understanding business requirements and translating them to code Your future duties and responsibilities Required qualifications to be successful in this role Ensemble, en tant que propriétaires, mettons notre savoir-faire à l’œuvre. La vie chez CGI est ancrée dans l’actionnariat, le travail d’équipe, le respect et un sentiment d’appartenance. Chez nous, vous pourrez exploiter votre plein potentiel parce que… Nous vous invitons à devenir propriétaire dès le jour 1 alors que nous travaillons ensemble à faire de notre rêve une réalité. C’est pourquoi nous nous désignons comme associés de CGI, plutôt que comme employés. Nous tirons profit des retombées de notre succès collectif et contribuons activement à l’orientation et à la stratégie de notre entreprise. Votre travail crée de la valeur. Vous élaborerez des solutions novatrices et développerez des relations durables avec vos collègues et clients, tout en ayant accès à des capacités mondiales pour concrétiser vos idées, saisir de nouvelles opportunités, et bénéficier d’une expertise sectorielle et technologique de pointe. Vous ferez évoluer votre carrière en vous joignant à une entreprise bâtie pour croître et durer. Vous serez soutenus par des leaders qui ont votre santé et bien-être à cœur et qui vous permettront de saisir des occasions afin de parfaire vos compétences et élargir les horizons. Joignez-vous à nous, l’une des plus importantes entreprises de conseil en technologie de l’information (TI) et en management au monde.

Role: Generative AI/ML Development Location: Bangalore Full/ Part-time: Full Time. Build a career with confidence: Carrier Global Corporation, global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do. About the Role: Seeking a seasoned Generative AI/ML with Python development professionals with expertise into deploying applications in production environment. Job Description: As an AI/ML Engineer, experiment, design, develop, and deploy applications powered by traditional Machine Learning models as well as Large Language Models (LLMs) Roles and Responsibilities: Implement end-to-end AI/ML pipelines including collection/exploration/cleaning/validation of data, feature engineering, model training, versioning, evaluation, deployment and monitoring models using Cloud Provider services, such as Azure ML and Open-Source Tools. Design, develop, deploy, evaluate applications using LLMs (such as GPT, Claude, Gemini etc). Analyze large scale structured (IoT & Non-IoT) and unstructured data to understand trends/patterns and guide business decisions. Minimum Requirements: 5 to 8 years of professional experience in software development, including at least 5 years of developing and deploying Machine Learning models in production, with a recent focus on Generative AI/LLMs. Strong programming skills in Python, with hands-on experience in libraries/frameworks such as pandas, Numpy, scikit-learn, XGBoost, PyTorch, TensorFlow etc. Expertise in software development life cycle (unit/integration testing, code review, version control, build process). Exposure to RESTful API designing and development using frameworks like Flask, FastAPI etc. Familiarity with techniques such as Prompt Engineering, Function/Tool Calling, Retrieval-Augmented Generation (RAG), Agents, LLM based Reasoning and evaluation using OpenAI/Anthropic/Google GenAI Python SDK (Good to have) Benefits: We are committed to offering competitive benefits programs for all our employees and enhancing our programs when necessary. Make yourself a priority with flexible schedules, parental leave. Drive forward your career through professional development opportunities. Achieve your personal goals with our Employee Assistance Programme. Our commitment to you: Our greatest assets are the expertise, creativity, and passion of our employees. We strive to provide a great place to work that attracts, develops, and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback, and always challenging ourselves to do better. This is The Carrier Way. Join us and make a difference. Apply Now! Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Job Applicant's Privacy Notice: Click on this link to read the Job Applicant's Privacy Notice

Company Description Version 1 has celebrated over 26 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat, OutSystems and Snowflake. We’re also an award-winning employer reflecting how employees are at the heart of Version 1. We’ve been awarded: Innovation Partner of the Year Winner 2023 Oracle EMEA Partner Awards, Global Microsoft Modernising Applications Partner of the Year Award 2023, AWS Collaboration Partner of the Year - EMEA 2023 and Best Workplaces for Women by Great Place To Work in UK and Ireland 2023. As a consultancy and service provider, Version 1 is a digital-first environment and we do things differently. We’re focused on our core values; using these we’ve seen significant growth across our practices and our Digital, Data and Cloud team is preparing for the next phase of expansion. This creates new opportunities for driven and skilled individuals to join one of the fastest-growing consultancies globally. Job Description This is an exciting opportunity for a Data Scientist to deliver high-value analytics solutions for the Version 1 AI Labs. This provides a unique opportunity for people who are passionate about technology and have a deep commitment to code quality and best practices to build something special and make a real difference to our business and to our customer’s business. You will have strong experience in building solutions using a variety of open-source tools and exposure to Python, Spark, NLP, Transformers and a proven track record in delivering high-quality work to tight deadlines. The successful candidate will work on a wide range of projects across both traditional AI techniques (e.g. machine learning, predictive modelling, and NLP) and the latest advances in multimodal large language models, including those for image, video, and text generation or understanding. The role will require a data scientist with excellent communication skills, that is willing to continuously learn and listen. Creative problem solving and a keen understanding of how predictive analytics can be leveraged in business processes are a must. We’re looking for a data scientist that is inherently curious, driven, willing to learn & develop, with an owning the problem and self-starter attitude. Qualifications Essential: Excellent communication skills, including written and oral English language skills Minimum 3+ years of experience in a Data Scientist role Graduate degree in Data Science, Statistics, or another quantitative field. Solid understanding of Spark Strong foundation in statistics Solid understanding of metrics and their usage. Expert programming skills in Python and SQL and with relevant Data Science & ML frameworks (Scikit-learn, Pandas, PyTorch, etc) Deep understanding of statistical and ML algorithms, methodologies and approaches, and with deep learning & LLMs (Gen AI). Experience with working with either Azure/AWS Cloud Environments. Python conventions, writing clean code and testing functionality Ability to work to own initiative and without heavy oversight Must show evidence of your passion for technology and continuous learning Desirable: Familiarity with Huggingface Familiarity with Databricks Familiarity finetuning LLM. Experience working with Azure OpenAI, AWS Bedrock. Experience working with offshore team Consultancy experience If you are up to the challenge, tick most of the boxes above and looking to own technical oversight of a highly motivated and driven team, then get in touch - we’d love to speak with you! Additional Information At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their well-being, professional growth, and financial stability. One of our standout advantages is the ability to work with a hybrid schedule along with business travel, allowing our employees to strike a balance between work and life. We also offer a range of tech-related benefits, including an innovative Tech Scheme to help keep our team members up-to-date with the latest technology. We prioritise the health and safety of our employees, providing private medical and life insurance coverage, as well as free eye tests and contributions towards glasses. Our team members can also stay ahead of the curve with incentivized certifications and accreditations, including AWS, Microsoft, Oracle, and Red Hat. Our employee-designed Profit Share scheme divides a portion of our company's profits each quarter amongst employees. We are dedicated to helping our employees reach their full potential, offering Pathways Career Development Quarterly, a programme designed to support professional growth.

Category: Software Development/ Engineering Main location: India, Karnataka, Bangalore Position ID: J0625-1571 Employment Type: Full Time Position Description: Position Description Job Title: AI Developer – Fresher Location: Bangalore Job Type: Apprenticeship Experience Level: Fresher (0 year) Your future duties and responsibilities: Should be flexible for shift and location We are seeking a passionate and self-motivated Generative AI Developer with an interest in building intelligent solutions using Microsoft Azure AI Services. As part of our AI team, you will be trained in developing, deploying, and fine-tuning Generative AI applications using Azure OpenAI, Cognitive Services, and modern machine learning tools. Understanding of Generative AI and LLMs like GPT, and familiarity with Microsoft Azure AI services such as Azure Open AI, Cognitive Services, and Azure Functions. understand APIs, be comfortable with cloud tools like Azure Portal and Git, and show strong interest in AI/ML concepts, prompt engineering, and responsible AI practices. Problem-solving and debugging, Communication and collaboration, understanding business requirements and translating them to code Required qualifications to be successful in this role: Bachelors of technology in Computer Science / Information technology / ECE. Year of passing – 2024 / 2025. 60 % throughout the academics 10+2+3 Internship or academic project experience in AI development is a plus. Skills: Application Development Applications Administration Database What you can expect from us: Together, as owners, let’s turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction. Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team—one of the largest IT and business consulting services firms in the world.

Job Description: AI Generalist – Workflow Automation and App Development Location: Kolkata, India Employment Type: Full-time About Us We are a dynamic company in Kolkata with multiple verticals, looking to build innovative solutions to streamline workflows and automate repetitive business tasks. We encourage creativity, experimentation, and keeping pace with the latest trends in technology. Role Overview We are seeking an AI Generalist who is highly up to date with current trends in AI, workflow automation, and app development. The ideal candidate will leverage modern AI tools and frameworks to design, develop, and deploy applications that improve our operations and productivity. Key Responsibilities Develop, deploy, and maintain AI-driven workflow automation apps. Identify and automate recurring processes across departments (e.g., finance, HR, operations). Collaborate with internal teams to gather requirements and improve existing workflows. Stay on top of the latest developments in AI, automation, and enterprise productivity tools. Integrate AI solutions (e.g., chatbots, document processing, decision automation) with our existing systems. Ensure robust, scalable, and user-friendly design for all tools and apps. Conduct testing, troubleshooting, and ongoing optimization of AI-driven solutions. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field. Proven track record (1+ years) developing AI solutions and automation apps (Python, Node.js, cloud APIs, etc.). Hands-on experience with workflow tools (Zapier, Power Automate, Airflow, etc), and AI platforms (OpenAI, Azure AI, Google Cloud AI, etc.). Solid understanding of machine learning, NLP, RPA, and general AI concepts. Strong integration skills – ERP, SaaS, APIs, and cloud environments. Excellent analytical/problem-solving skills and ability to learn new technologies quickly. Up-to-date knowledge of recent AI innovations, frameworks, and industry trends. Ability to work in Kolkata, collaborate with a local team, and communicate clearly. Preferred Skills Experience building apps for finance, HR, or office automation. Knowledge of secure coding, privacy, and compliance standards in enterprise environments. Prior work with databases (SQL/NoSQL), UI/UX tools, and mobile/desktop app frameworks. Familiarity with Indian business processes and best practices. Benefits Competitive salary and performance bonuses. Opportunity to work at the forefront of AI and automation in a creative, flexible environment. Continuous learning and professional development. Convenient Kolkata office location. Job Type: Full-time Pay: ₹25,000.00 - ₹45,000.00 per month Work Location: In person

🧑‍💻 Job Title Software Engineer (LLM Applications & AI Tools) 🏢 Company PiHex Labs 🌐 Website | LinkedIn 📍 Remote | 🕒 Full-Time / Internship 🧩 About PiHex Labs PiHex Labs is a modern tech firm focused on AI, software engineering, and scalable backend systems. We work with global clients to create robust, high-performance platforms that are secure, efficient, and reliable. 🚀 Role Overview We are looking for a Software Engineer with experience in LLM -based applications to join our team. This role involves building AI-powered tools, designing structured data pipelines with LLMs , and working on innovative applications that combine backend systems with intelligent front-end interfaces. You'll get to work on prompt engineering, structured data generation (JSON, APIs), and seamless integration of LLMs into real-world applications. 🛠️ Responsibilities Design and build LLM-based applications and pipelines for structured data generation and processing Develop prompt-engineering strategies to improve the accuracy and reliability of LLM outputs Work on backend integrations, APIs, and cloud-based deployments for AI-driven tools Implement best practices for scalable and efficient AI applications Collaborate on developing interactive front-end interfaces ( React/Next.js ) that integrate with AI-powered backends Write clean, maintainable, and well-tested code, participate in code reviews, and follow agile workflows ✅ Requirements Strong experience in Python ( FastAPI, Flask, or Django ) Familiarity with LLM APIs ( OpenAI, Anthropic, etc. ) and prompt engineering Good understanding of structured data formats ( JSON, YAML ) and API design Experience with cloud platforms ( AWS/GCP/Azure ) and containerization ( Docker ) Strong debugging skills and the ability to work with complex data pipelines Solid understanding of Git workflows and collaborative software development 🌟 Nice to Have Experience with LangChain, Instructor , or similar LLM frameworks Exposure to front-end frameworks ( React, Next.js ) for building AI-powered interfaces Knowledge of data transformation tools and scientific data formats ( JSON-LD, etc. ) Familiarity with DevOps practices and CI/CD pipelines 🎁 Perks 💰 Fair Stipend or Salary Based on Skills and Experience 🕓 Flexible Work Hours 📍 Remote-Friendly Setup 📈 Learning & Growth Opportunities 👥 Collaborative Team Culture 📬 How to Apply Submit your application using the Google Form .

We are seeking a highly skilled Development Lead with expertise in Generative AI and Large Language models to join our dynamic team. As a Development Lead, you will play a key role in developing cutting-edge AI models and systems for our clients. Your primary focus will be on driving innovation and leveraging generative AI techniques to create impactful solutions. The ideal candidate will have a strong technical background and a passion for pushing the boundaries of AI technology. Job Description: Responsibilities : Develop and implement creative experiences, campaigns, apps, and digital products, leveraging generative AI technologies at their core. Successful leadership and delivery of projects involving Cloud Gen-AI Platforms and Cloud AI Services, Data Pre-processing, Cloud AI PaaS Solutions, LLMs, Base Foundation Models, Fine Tuned models, working with a variety of different LLMs and LLM APIs. Conceptualize, Design, build and develop experiences and solutions which demonstrate the minimum required functionality within tight timelines. Collaborate with creative technology leaders and cross-functional teams to test feasibility of new ideas, help refine and validate client requirements and translate them into working prototypes, and from thereon to scalable Gen-AI solutions. Research and explore emerging trends and techniques in the field of generative AI and LLMs to stay at the forefront of innovation. Research and explore new products, platforms, and frameworks in the field of generative AI on an ongoing basis and stay on top of this very dynamic, evolving field Design and optimize Gen-AI Apps for efficient data processing and model leverage. Implement LLMOps processes, and the ability to manage Gen-AI apps and models across the lifecycle from prompt management to results evaluation. Evaluate and fine-tune models to ensure high performance and accuracy. Collaborate with engineers to develop and integrate AI solutions into existing systems. Stay up-to-date with the latest advancements in the field of Gen-AI and contribute to the company's technical knowledge base. Must-Have: Strong Expertise in Python development, and the Python Dev ecosystem, including various frameworks/libraries for front-end and back-end Python dev, data processing, API integration, and AI/ML solution development. Minimum 2 years hands-on experience in working with Generative AI Applications and Solutions. Minimum 2 years hands-on experience in working with Large Language Models Solid understanding of Transformer Models and how they work. Reasonable understanding of Diffusion Models and how they work. Hands-on Experience with building production solutions using a variety of different. Experience with multiple LLMs and models - including GPT-4o, Gemini, Claude, Llama, etc. Deep Experience and Expertise in Cloud Gen-AI platforms, services, and APIs, including Azure OpenAI, AWS Bedrock, and/or GCP Vertex AI. Solid Hands-on Experience working with Enterprise RAG technologies and solutions / frameworks - including LangChain, Llama Index, etc. Solid Hands-on Experience with developing end-to-end RAG Pipelines. Solid Hands-on Experience with Agent-driven Gen-AI architectures and solutions, and working with AI Agents. Hands-on experience with Single-Agent and Multi-Agent Orchestration solutions Solid Hands-on Experience with AI and LLM Workflows Experience with LLM model registries (Hugging Face), LLM APIs, embedding models, etc. Experience with vector databases (Azure AI Search, AWS Kendra, FAISS, Milvus etc.). Experience in data preprocessing, and post-processing model / results evaluation. Hands-on Experience with Diffusion Models and AI. Art models including SDXL, DALL-E 3, Adobe Firefly, Midjourney, is highly desirable. Hands-on Experience with Image Processing and Creative Automation at scale, using AI models. Hands-on experience with image and media transformation and adaptation at scale, using AI Art and Diffusion models. Hands-on Experience with dynamic creative use cases, using AI Art and Diffusion Models. Hands-on Experience with Fine-Tuning LLM models at scale. Hands-on Experience with Fine-Tuning Diffusion models and Fine-tuning techniques such as LoRA for AI Art models as well. Hands-on Experience with AI Speech models and services, including Text-to-Speech and Speech-to-Text. Ability to lead design and development teams, for Full-Stack Gen-AI Apps and Products/Solutions, built on LLMs and Diffusion models. Ability to lead design and development for Creative Experiences and Campaigns, built on LLMs and Diffusion models. Nice-to-Have: Good Background and Foundation with Machine Learning solutions and algorithms Experience with designing, developing, and deploying production-grade machine learning solutions. Experience with Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). Experience with custom ML model development and deployment Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras. Strong knowledge of machine learning algorithms and their practical applications. Experience with Cloud ML Platforms such as Azure ML Service, AWS Sage maker, and NVidia AI Foundry. Hands-on Experience with Video Generation models. Hands-on Experience with 3D Generation Models. Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Permanent

📌 Job Title: Senior AI Engineer – GenAI Systems & AI Agent Architecture 📍 Location : Remote / Hybrid (Preferred: India-based with flexible timezone overlap) 🕒 Type : Full-time 💰 Compensation : Competitive – based on experience (CTC + ESOP options) 🚀 About YoLearn.ai YoLearn.ai is building the world’s most emotionally intelligent, personalized learning OS — powered by AI tutors, coaches, and study buddies. Our platform blends deep pedagogical thinking with cutting-edge GenAI, LLMs, and agentic architectures to transform how students learn and how teachers teach. We're looking for a Senior AI Engineer with a strong foundation in machine learning , LLMs , and AI agent infrastructure — who has built real AI apps , not just played with notebooks. You’ll work closely with the founder, AI research engineers, backend devs, and product teams to power everything from tutoring agents to live multimodal avatars. 🎯 Responsibilities🧠 AI & ML System Development Architect, train, fine-tune, and deploy models (ML + DL + LLMs) Build and scale GenAI applications: RAG systems, recommender engines, forecasting models Engineer robust AI agents with memory, personalization, tool access, and reasoning logic Handle multi-agent orchestration , streaming audio/video interfaces , and real-time AI flows 🧰 Engineering & Infra Design and optimize data pipelines: cleaning, preprocessing, feature engineering Build production APIs (FastAPI preferred) for AI tools and core platform functionality (billing, notifications, usage logs, profiles, history) Manage CI/CD pipelines , containers (Docker), orchestration (Kubernetes), and deployment workflows Integrate with AWS services: Sagemaker, Bedrock, Lambda, EC2, ECS/EKS, Redis, S3, Athena, Step Functions , etc. Work on LLM fine-tuning , retrieval augmentation, and model context protocols (MCP) 🤖 GenAI & LangChain Ecosystem Build GenAI tools using OpenAI, LLaMA, DeepSeek, Mistral , etc. Use LangChain , LLM orchestration frameworks , and vector DBs (Qdrant, FAISS, Weaviate, pgvector) Construct RAG-based assistants , multi-turn memory, agent-based logic 📊 AI Product Features NLP tasks (NER, summarization, embeddings, retrieval, QA) Image/video model integration (optionally GANs, captioning, OCR) Build smart learning systems: time series forecasting, recommendations, knowledge graphs Integrate token tracking, user usage monitoring, analytics 🧑‍💻 Required Skills✅ Core 3–6+ years hands-on experience in AI/ML/LLM development and deployment Python (advanced), OOPs, NumPy, Pandas, SQL (MySQL/PostgreSQL) Data preprocessing, EDA, model training/tuning/evaluation ML algorithms (regression, classification, clustering) DL (ANN, CNN, RNN, LSTM, Transformer), GANs NLP (NER, summarization, sentiment, tokenization, embeddings) ✅ Dev & Ops FastAPI / Flask / Node.js (for backend API) Git, GitHub/Bitbucket, CI/CD pipelines Docker, Kubernetes, AWS (EC2, Lambda, S3, Sagemaker, etc.) Redis, Supabase, Firebase, PostgreSQL Git-based testing, debugging, and logging practices ✅ GenAI & LLM Stack LangChain, LlamaIndex, OpenAI APIs, Bedrock models Vector DBs (Qdrant, FAISS, pgvector) RAG architecture, memory layers, streaming AI Audio/Video AI tool integration (e.g., Whisper, AssemblyAI, Deepgram, WebRTC) Model fine-tuning, inference optimization (PEFT, LoRA, quantization) 🌟 Bonus (Nice to Have) Built or deployed LLM agents with real-world users or scale Experience in K-12 EdTech, AI tutors, or learning platforms Exposure to Lex, Connect, Step Functions, CloudWatch, IAM roles Familiarity with agent frameworks like LangGraph, AutoGen, CrewAI Basic frontend understanding (React, Next.js) to collaborate with full-stack teams 🎓 Qualifications B.E./B.Tech/M.Tech in Computer Science, AI, Data Science, or related fields Strong coding and algorithmic reasoning skills Strong written communication and technical documentation ability 💼 Work Culture & Reporting Team : Report to CTO and Founder, collaborate with AI agents, backend, and UI/UX teams Culture : High ownership, agile delivery, startup intensity + deep tech creativity Tools we use : GitHub, Linear, Slack, GCP, Supabase, Notion, Vercel, LangChain, AWS 📩 How to Apply Send your resume, GitHub, portfolio (if any), and links to AI/LLM projects you’ve built (not just notebooks) to: 📧 contact@yolearn.ai 🌐 www.yolearn.ai

Key Responsibilities: Develop and maintain scalable backend applications using FastAPI and PostgreSQL. Integrate WhatsApp Cloud API for messaging functionality. Implement AI-powered features using OpenAI/Gemini LLMs. Collaborate with the team using GitHub for version control and code management. Required Skills: Proficiency in Python and FastAPI Experience with PostgreSQL database management WhatsApp Cloud API integration experience (mandatory) Familiarity with OpenAI/Gemini LLMs GitHub version control Postman Ideal Candidate: Currently pursuing a degree in Computer Science or related field Strong problem-solving skills and willingness to learn Ability to work independently Duration: 6months Stipend: NA

As an AI and Machine Learning engineer at Dailoqa, you will play a crucial role in shaping the future of Financial Services clients and the company. Working directly with the founding team, you will have the opportunity to apply the latest AI techniques to address real challenges faced by Financial Services clients. Your responsibilities will involve designing, building, and refining datasets to evaluate and enhance our solutions, as well as contributing to strategy and product ideation sessions to influence our product and solution roadmap. Key Responsibilities: - **Agentic AI Development**: Build scalable multi-modal Large Language Model (LLM) based AI agents using frameworks like LangGraph, Microsoft Autogen, or Crewai. - **AI Research and Innovation**: Research and develop innovative solutions for relevant AI problems, including Retrieval-Augmented Generation (RAG), semantic search, knowledge representation, fine-tuning, and reasoning in LLMs. - **Technical Expertise**: Demonstrate proficiency in a technology stack comprising Python, LlamaIndex / LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, and React. - **LLM and NLP Experience**: Utilize hands-on experience with LLMs, RAG architectures, Natural Language Processing (NLP), or applying Machine Learning to solve practical problems. - **Dataset Development**: Showcase a strong track record in constructing datasets for training and evaluating machine learning models. - **Customer Focus**: Engage deeply in the domain, grasp the problem intricacies, and prioritize delivering value to the customer. - **Adaptability**: Excel in a dynamic environment and exhibit enthusiasm about contributing to an early-stage venture. - **Model Deployment and Management**: Automate model deployment, monitoring, and retraining procedures. - **Collaboration and Optimization**: Collaborate with data scientists to review, refactor, and optimize machine learning code. - **Version Control and Governance**: Implement version control and governance for models and data. Required Qualifications: - Bachelor's degree in computer science, Software Engineering, or a related field - 4-8 years of experience in MLOps, DevOps, or related roles - Strong programming skills and familiarity with Python-based deep learning frameworks like Pytorch, JAX, Tensorflow - Sound understanding and knowledge of machine learning concepts - Proficiency in cloud platforms (AWS, Azure, or GCP) and infrastructure-as-code tools like Terraform Desired Skills: - Experience with experiment tracking and model versioning tools - Proficiency in the technology stack: Python, LlamaIndex / LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, React. - Knowledge of data pipeline orchestration tools like Apache Airflow or Prefect - Familiarity with software testing and test automation practices - Understanding of ethical considerations in machine learning deployments - Strong problem-solving abilities and adeptness in a fast-paced environment Join us at Dailoqa and be part of a team that values innovation, collaboration, and relentless curiosity. If you are proactive, adaptable, and keen on making a direct impact on success, apply now and embark on a journey of growth and fun in the world of AI and Machine Learning within the financial services industry.,

In this role, you will be responsible for designing, developing, and deploying AI models and end-to-end intelligent systems that address complex business challenges. You will work closely with global teams, leveraging MLOps practices to streamline deployment workflows, ensure model accuracy, and maintain operational excellence. You will also collaborate with stakeholders to bridge the gap between technical AI capabilities and business impact, delivering solutions that are both innovative and practical. Key Responsibilities AI/ML Model Development : Build, train, and fine-tune machine learning and deep learning models using Python for diverse use cases. End-to-End AI Lifecycle : Manage the complete AI development lifecycle from data acquisition, preprocessing, and feature engineering to deployment and monitoring. MLOps Implementation : Design and implement CI/CD pipelines for ML models using tools such as MLflow, Kubeflow, AWS SageMaker, or GCP Vertex AI. Cloud-Based AI Solutions : Architect and deploy AI workloads on cloud AI platforms (AWS, GCP, Azure) ensuring performance, scalability, and security. Containerized Deployments : Leverage Docker, Kubernetes, and OpenShift to package and scale AI solutions efficiently. Natural Language Processing (NLP) : Apply NLP techniques for text classification, sentiment analysis, chatbots, and other language-based applications using libraries such as spaCy, NLTK, Hugging Face Transformers, or OpenAI APIs. Performance Optimization : Continuously improve AI models and systems to enhance speed, accuracy, and cost-effectiveness. Stakeholder Communication : Present complex AI concepts to non-technical audiences in a clear, concise, and impactful manner. Best Practices : Follow industry standards for code quality, reproducibility, and security compliance in AI development. Preferred Qualifications Strong proficiency in Python and popular AI/ML libraries (TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy). Demonstrated expertise in cloud-based AI platforms such as AWS AI/ML, GCP AI, or Azure Cognitive Services. Deep understanding of MLOps frameworks and best practices for deployment, scaling, and monitoring. Hands-on experience with container orchestration (Docker, Kubernetes, OpenShift). Proven track record in NLP model design and integration into real-world applications. Solid understanding of distributed computing for AI workloads. Exceptional problem-solving skills with a focus on delivering business impact. Strong verbal and written communication skills for effective cross-functional collaboration. (ref:hirist.tech)

Lead the World’s Most Advanced AI-Powered Full-Stack Application Designer & Developer Platform. Software Co is on a mission is to redefine the way software is built . Over the past decade, we’ve delivered hundreds of enterprise-grade projects, gaining unparalleled experience, insights, and technical depth. Now, we’re channelling that expertise into building the world’s most advanced, production-grade, AI-powered full-stack application designer and developer platform capable of transforming natural-language ideas into fully functional, scalable web and mobile applications, ready for deployment in minutes. Our platform is not a no-code toy. It is AI as the world's best designer, engineer, architect, and DevOps specialist , all in one — a tool for professionals, enterprises, and ambitious startups who demand speed, quality, and control. If you’ve ever wanted to lead the engineering vision of a category-defining technology company from day one, this is it. The Opportunity: As our Lead AI Engineering Lead & Manager , you will: Own the technical architecture of our AI code-generation engine, orchestration pipelines, and multi-model LLM integrations. Build and lead a high-performing AI/ML engineering team from the ground up. Translate our product vision into scalable, secure, and performant systems . Direct the evolution of our prompt-to-production workflow , ensuring developers and non-developers alike get flawless, production-ready results. Be the technical face of the company alongside the founder, influencing investors, partners, and the developer community. What You’ll Lead & Build: AI & Orchestration Layer Multi-model LLM integration (OpenAI GPT-5, Anthropic Claude, Google Gemini) Prompt parsing, domain-specific language (DSL) translation, and hallucination mitigation Retrieval-Augmented Generation (RAG) for context persistence AI-generated testing, code review, and documentation Full-Stack Code Generation Frontend: React / Next.js / Tailwind, React Native for mobile Backend: Node.js (NestJS) and/or Python (FastAPI) with GraphQL & REST APIs Automated database schema generation (PostgreSQL/Prisma, Supabase) with MongoDB adapters Authentication flows, role-based permissions, and secure API integrations Developer Experience In-browser IDE (Monaco/VS Code engine) Live preview, CI/CD automation, one-click deployment (Vercel, AWS, GCP, Docker/K8s) Plugin marketplace & integration APIs Platform & Infrastructure Microservices & container orchestration High-availability, globally distributed infrastructure Security, compliance, and audit logging for enterprise customers Who Are You: An exceptional AI/ML engineering leader with experience shipping complex, production-grade systems. Equally at home writing code, designing architecture, and mentoring teams. Deeply familiar with LLM architectures , prompt engineering , and AI-assisted developer tooling. Excited by the 0→1 journey — ambiguity energises you. Capable of recruiting top-tier engineers and inspiring them to build something truly transformational. Comfortable interfacing with founders, product managers, and enterprise clients. Obsessed with developer experience and the quality of generated code. What You Bring: 7+ years in software engineering with at least 3 years in an AI/ML leadership role. Strong background in backend architecture and frontend frameworks . Proven experience with LLM APIs, LangChain/LlamaIndex, RAG pipelines. Expertise in cloud infrastructure (AWS/GCP/Azure, container orchestration). Experience leading cross-functional engineering teams. A track record of shipping high-impact, scalable software products. What We Offer: Competitive salary with flexibility for global talent. Direct collaboration with the founder, leadership team & extensive development team. An environment where your technical vision shapes the company . The chance to lead one of the most ambitious AI engineering projects in the world . Location: Headquarters: Sydney, Australia Open to work from Sydney / Melbourne / Ahmedabad / Bangalore / San Francisco / remotely with optional relocation support. Occasional travel for in-person product sprints and team offsites. How to Apply: Apply via LinkedIn or send your CV, GitHub/portfolio, and a short note on why you’re excited to build the most advanced AI-powered development platform in the world to: jobs@softwareco.com. Subject: “AI Engineering Lead – [Your Name]” If you want to lead from the front, build from scratch, and be remembered for creating a technology that changes how the world writes software, let’s talk.

Job Description Tellius enables organizations to get faster insights and act upon cloud-scale enterprise data using AI-powered automation. Any user can ask any question across billions of records via a ChatGPT-like interface, understand “why” metrics change via AI insights that surface hidden key drivers and trends, and leverage agentic flows to perform complex multipart analysis easily — in a self-service manner. Unlike traditional BI tools, Tellius excels at ad hoc analysis, deep dives, and business-friendly advanced analytics. What You’ll Do Support development of internal tools and features that power our AI-driven analytics platform Assist with prototyping AI agent workflows and integrations (e.g., LangChain, OpenAI, or other frameworks) Help build backend services using Python and SQL Work with structured data and contribute to pipelines that support business use cases Collaborate with the team on design, testing, and documentation of new features Learn and apply engineering best practices in a fast-paced startup environment What We’re Looking For Current student or recent graduate in Computer Science, Data Science, or related field Familiarity with Python and SQL Interest in AI/ML applications, large language models, or analytics Ability to work independently and communicate effectively with a distributed team Bonus: experience with LangChain, LlamaIndex, or building small personal AI projects Why This Internship Get exposure to real production code and fast-moving product development Learn from engineers working at the intersection of AI and enterprise analytics Make meaningful contributions to features that may ship to customers Join a mission-driven team shaping the future of AI-powered decision-making Job Details Role Level: Internship Work Type: Full-Time Country: India City: india Company Website: https://www.tellius.com Job Function: Engineering Company Industry/ Sector: Software Development What We Offer About The Company Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand. Report Similar Jobs Senior Business Development Executive Talentmate SENIOR SOFTWARE DEVELOPER Talentmate C Developer IRC272190 Talentmate DevOps IRC272951 Talentmate DevOps IRC272951 Talentmate DevOps IRC272951 Talentmate Disclaimer: talentmate.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.

As a Data Scientist, you will be responsible for fine-tuning and adapting open-source Large Language Models (LLMs) such as LLaMA 4, Mistral, and Bert using NVIDIA GPU tools. You will build AI agents utilizing frameworks like LangChain, LangGraph, or AutoGen with structured workflows including memory management, tools utilization, and retries. Implementing hybrid LLM solutions using OpenAI/Claude APIs and open-source models will be part of your key tasks. Additionally, you will be developing APIs using FastAPI, and containerizing applications with Docker. Your role will also involve deploying, monitoring, and scaling AI solutions on cloud providers like AWS, Azure, or similar platforms. Collaborating with senior engineers to optimize the performance and reliability of deployed systems will also be essential. The requirements for this role include hands-on experience with LLM fine-tuning and NVIDIA GPU toolkits, specifically CUDA. Familiarity with LangChain or similar agent frameworks is necessary. Experience in developing APIs with FastAPI and deploying them via Docker is also a requirement. Proficiency in using OpenAI/Anthropic APIs and building basic RAG pipelines is expected. A solid foundation in Python programming, cloud deployment on platforms like AWS/Azure, and working with vector databases such as FAISS and Pinecone is essential. Nice-to-have skills for this position include exposure to tools like LangServe and Semantic Kernel, familiarity with CI/CD pipelines, and monitoring tools like GitHub Actions and Prometheus. Previous contribution to open-source AI/ML projects will be considered advantageous. In addition to technical skills, soft skills are equally important for this role. Strong communication skills, both verbal and written, are essential. Excellent problem-solving and debugging skills are required. Being self-motivated with the ability to work independently as well as in a team setting is crucial. Comfort in working with stakeholders across different time zones will be beneficial for successful performance in this role.,

Are you a customer-obsessed, AI-curious problem-solver who thrives in an inclusive, collaborative global team? The Azure CXP team’s mission is to transform Microsoft Cloud customers into fans. Through our deep engineering engagements with customers and teams across Microsoft, we analyze and amplify customer needs and drive the vision to improve Cloud quality, security, and reliability. Our culture of growth mindset and empowerment are central to who we are and how we work. We are customer-obsessed problem-solvers. We orchestrate deep engagements in areas like incident management, support, and enablement. We analyze and amplify those customer voices, both within our own team, and across the Cloud + AI team, bringing the customer connection to the Quality vision for Azure. We innovate ways to scale what we learn across our customer base. Diversity and inclusion are central to who we are, how we work, and what we enable our customers to achieve. We know that empowering our customers starts with empowering our team to show up authentically, work in ways that are best for them, and achieve their career goals. Azure Reliability team is a multidisciplinary engineering organization part of CXP dedicated to making, “Azure the safest and most reliable Cloud”. We are the Azure Reliability team; a multidisciplinary engineering organization committed to making Azure the world’s safest and most reliable cloud. For Azure’s most critical services and products, we apply a Site Reliability Engineering (SRE) approach. Our software engineers work closely with product teams to enhance availability, reliability, observability, and operability across our planet-scale systems. We prioritize long-term platform improvements through engineering over repetitive manual tasks. Increasingly, we leverage AI to amplify our ability to scale reliability across Azure. Our teams contribute to product architecture, share knowledge and code, and focus on building reusable solutions that benefit multiple teams and services. As the SRE discipline evolves, we continuously learn from industry peers and contribute to its advancement by innovating within our group and sharing our insights publicly. Our team brings diverse professional backgrounds, both traditional and non-traditional, and we’re committed to growing diversity. We believe that an inclusive environment where everyone feels safe to contribute leads to better teams, better products, and a better workplace. We’re not looking for people who know it all; we’re looking for those eager to learn it all. If you thrive on collaboration, embrace challenges, and see mistakes as opportunities to grow, we’d love to meet you. Every day, our customers stake their business and reputation on our cloud. You can help #AzCXP provide our customers with the world-class cloud services they need to succeed. Company Culture Statement Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Billions of users across the world rely on our products, and to meet this demand we design and implement world-class distributed systems. As a Software Engineer in one of our Azure SRE teams, you will be responsible for improving the reliability of key Azure products. The Azure SRE key focus areas are: Defining system reliability goals through Service Level Objectives (SLOs). Enhancing production posture with targeted improvements in observability and operability (telemetry, alerting, incident/change management, safe deployment practices). Building reusable automation and processes that help multiple teams meet their reliability goals. Influencing product architecture and roadmaps to ensure customer-experienced reliability is a core design principle. Contributing directly to product code to achieve reliability outcomes. Leveraging AI to proactively detect anomalies, predict incidents, and automate operational workflows - scaling reliability efforts across complex systems. We are looking for engineers passionate about the above areas who are also interested in: Designing and developing large-scale distributed software services and solutions. Delivering “best-in-class” engineering by ensuring services are modular, secure, reliable, testable, diagnosable, observable, and reusable. Collaborating with internal and external partners to support team goals. Balancing pragmatism with vision - driving continuous improvements in process and codebase. Building automation to prevent or remediate service issues before they impact users. Driving innovation in large-scale operations by applying cutting-edge AI tools and techniques to reduce operational toil and scale reliability engineering across complex systems. Gaining a working understanding of Microsoft businesses and contributing to cohesive, end-to-end user experiences. Qualifications Required Qualifications: Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience Preferred Qualifications Familiarity with modern distributed software design patterns and cloud systems architecture, including microservices, containers, load balancing, queuing, caching. Proven track record in building, shipping, and operating reliable solutions. Proficiency in programming languages like C#/Java/Python. Experience with data technologies (SQL/NoSQL/etc.). Experience with Azure is a plus. Experience in AI adoption with tools like GitHub Copilot, Azure OpenAI and custom copilots to streamline development and reduce toil. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Tellius enables organizations to get faster insights and act upon cloud-scale enterprise data using AI-powered automation. Any user can ask any question across billions of records via a ChatGPT-like interface, understand “why” metrics change via AI insights that surface hidden key drivers and trends, and leverage agentic flows to perform complex multipart analysis easily — in a self-service manner. Unlike traditional BI tools, Tellius excels at ad hoc analysis, deep dives, and business-friendly advanced analytics. What You’ll Do Support development of internal tools and features that power our AI-driven analytics platform Assist with prototyping AI agent workflows and integrations (e.g., LangChain, OpenAI, or other frameworks) Help build backend services using Python and SQL Work with structured data and contribute to pipelines that support business use cases Collaborate with the team on design, testing, and documentation of new features Learn and apply engineering best practices in a fast-paced startup environment What We’re Looking For Current student or recent graduate in Computer Science, Data Science, or related field Familiarity with Python and SQL Interest in AI/ML applications, large language models, or analytics Ability to work independently and communicate effectively with a distributed team Bonus: experience with LangChain, LlamaIndex, or building small personal AI projects Why This Internship Get exposure to real production code and fast-moving product development Learn from engineers working at the intersection of AI and enterprise analytics Make meaningful contributions to features that may ship to customers Join a mission-driven team shaping the future of AI-powered decision-making

Company Description: Zequin is a women-led startup at the forefront of AI innovation, dedicated to delivering cutting-edge AI solutions to automate, simplify, and enhance decision-making at scale. Our team of AI experts combines deep technical knowledge with industry expertise to address complex challenges and unlock new opportunities. We collaborate with research and development partners to drive groundbreaking advancements and create a sustainable, tech-driven future. Our commitment extends to fostering the next generation of AI leaders by offering state-of-the-art learning experiences that blend academic rigor with real-time industry exposure. At our core, we are passionate about innovation, collaboration, and education, shaping a future where AI solutions transform lives and industries. What You’ll Do: Develop and deliver engaging training modules on AI/ML fundamentals, LLMs, and Agentic AI systems (e.g., tool-using agents, autonomous workflows) Lead interactive workshops, hands-on labs, and mentorship sessions for technical learners (engineers, data scientists, product teams) Customize curriculam for different audiences: enterprise teams, startups, universities, or bootcamps Stay current on developments in Agentic AI (e.g., LangChain, AutoGPT, OpenAI Function Calling, Retrieval-Augmented Generation) Collaborate with research and engineering teams to align course content with real-world applications and emerging tech The role involves hands-on teaching, mentoring students, and collaborating with other experts to enhance the learning experience and ensure the application of AI principles to real-world scenarios Requirements: 2+ years of experience as a technical trainer, educator, or L&D professional in AI/ML domains Strong knowledge of ML/AI concepts including supervised learning, deep learning, transformers, and LLMs Hands-on experience with Agentic AI tools or frameworks (e.g., ReAct, AutoGPT, LangGraph, semantic agents, orchestration pipelines) Ability to explain complex AI topics in an accessible, structured, and engaging way Experience building or delivering training to adult learners or technical professionals Qualifications: Proficiency in AI, Machine Learning, and Data Science Strong Programming skills including Python, FastAPI Solid foundation in Computer Science Excellent Analytical Skills Experience in academic teaching and training is beneficial Effective communication and mentoring skills Master’s degree in a related field Nice to Have: Prior experience working in a startup, tech academy, or corporate L&D program Familiarity with vector databases, prompt engineering, and fine-tuning Certifications in ML, data science, or instructional design

Job descriptionStepupmark Marketing Innovations Pvt Ltd is seeking a passionate and experienced Senior Python Full Stack Developer with 3+ years of hands-on experience. This role focuses on developing and maintaining scalable, high-performance web applications as part of a collaborative development team. Key Responsibilities: Design and develop full stack web applications using Python (Django/Flask) and modern frontend frameworks. Build and maintain RESTful APIs, integrate third-party services, and manage relational databases. Create responsive UI components using HTML, CSS, JavaScript, and React (or similar). Develop and deploy AI-driven features (e.g., recommendation engines, chatbots, NLP modules) using libraries such as TensorFlow, PyTorch, OpenAI API, etc. Collaborate with the product team to design intelligent, data-driven user experiences. Optimize application performance and ensure scalability and security. Stay up to date with the latest AI trends and technologies and suggest innovative solutions. Required Skills: Strong proficiency in Python with Django or Flask. Frontend expertise: HTML5, CSS3, JavaScript, React (or similar frameworks). Experience with MySQL/PostgreSQL, Git, and basic cloud deployment (AWS, GCP, etc.). Solid understanding of REST APIs and full stack architecture. Practical experience with AI/ML libraries like TensorFlow, PyTorch, scikit-learn, or OpenAI's API. Experience working with NLP, image processing, or data modeling is a plus. Strong analytical and problem-solving skills. Ability to manage multiple projects and meet deadlines effectively. Qualifications: Bachelor’s degree in Computer Science, AI, Data Science, or related field. Minimum 3 years of experience in full stack web development. Experience with AI implementation in production environments is a strong plus. Perks & Benefits: Competitive salary package (₹3.5 – ₹5 LPA) based on skills and experience Performance-based incentives Opportunity for career advancement and skill enhancement Supportive and collaborative work environment Job Type: Full-time Location Type: In-person Schedule: Day shift Work Location: In person

As an experienced candidate with over 3 years of relevant experience, you should possess the following must-have skills and qualifications: - Proficiency in programming languages, especially advanced Python and a good understanding of Typescript/Node.js would be advantageous. - Familiarity with various AI Frameworks such as LangGraph, CrewAI, LangChain, LlamaIndex, OpenAI, and Hugging Face is essential. - Experience in designing task-oriented agents with memory, tool use, planning, and inter-agent communication in Agent Systems is required. - Knowledge of RAG Architecture including document loaders, chunking strategies, vector embedding models, hybrid search (BM25 + vector), and contextual reranking is beneficial. - Familiarity with LLM Tooling like OpenAI GPT-4/4o, Claude, Gemini, and local models (e.g., Mistral, LLaMA) is preferred. - Experience with Infrastructure technologies such as Vector DBs (e.g., Weaviate, Pinecone, Qdrant, Elasticsearch), Postgres, and MongoDB is necessary. - Understanding of MLOps practices including prompt engineering, model evaluation, A/B testing, telemetry, and observability is a plus. - Proficiency in Deployment methodologies including REST APIs, FastAPI, Docker, and CI/CD pipelines is required. - Strong written and verbal communication skills are important, along with the ability to work independently and take ownership of initiatives from start to finish.,

Are you a student aiming to kickstart your career in the tech industry Techpyro Novagen Pvt. Ltd., a renowned provider of cutting-edge digital solutions, presents an exclusive opportunity for you to enhance your skills and secure a promising job position. Techpyro is located at Haridwar Main Rd, Vivek Vihar Colony, Devpura, Haridwar, Uttarakhand 249407 and is actively seeking individuals for various roles including Web Development (React.js, Next.js, Node.js, MongoDB, MySQL, PostgreSQL, Redis, Python, PHP), App Development (React Native, Flutter), UI/UX Design (Figma, Adobe XD), Graphics Design, DevOps (AWS, Azure, GCP), Blockchain (Solidity, Rust, Web3.js, Ether.js, Hardhat, Tronbox), Generative AI & LLMs (OpenAI, Gemini, LLaMA, Deepseek & more). By joining Techpyro, you will benefit from: - Free Hands-on Training - Paid Internship - Job Offer Based on Performance Don't miss out on this exceptional opportunity to build a successful career in the tech industry. Apply now at https://docs.google.com/forms/d/1LJydupZuShtVfb-W3Hw1669455qkwk4f5RztcLhZe0g or reach out to hr@techpyro.org for more information. Visit www.techpyro.com to explore further. Hurry! Limited seats available.,

📍 Location: Mumbai / Pune On-Site 💼 Type: Full-Time 📩 Apply with your CV and portfolio to info@simploy.ai We would love to know what excites you the most about this role, please include a cover letter along with your application. About the Role We are expanding our engineering team to enhance our next-generation AI-powered platform that delivers interactive, role-based experiences at scale. The product blends AI, workflow automation, and immersive interfaces to serve enterprise, education, and professional development markets. We’re looking for a Lead Engineer with a strong track record in full-stack development, AI/ML integration, and SaaS/platform architecture . You will work closely with senior leadership to take ownership of the technical vision, accelerate feature delivery, and ensure long-term scalability. Key Responsibilities Lead architecture, development, and integration of AI-driven workflows and interactive experiences . Work with product leadership to translate high-level concepts into robust technical solutions. Implement multi-layered AI orchestration using frameworks like LangChain, vector databases, and memory systems. Ensure seamless integration between front-end, backend, and AI components. Manage timelines and deliverables while maintaining high code quality. Recruit and lead additional engineering talent as the team grows. Required Experience 7–12 years in full-stack engineering with proven AI/ML integration experience. Experience building SaaS or simulation-based platforms (edtech, gaming, workflow automation). Expertise in JavaScript/TypeScript , React / Next.js , Firebase (or equivalent backend stack). Strong understanding of AI orchestration (LangChain, OpenAI APIs, embeddings, vector databases). Experience designing scalable architectures and leading technical teams. Ability to build fast MVPs without sacrificing scalability and performance. Why Join Us Work on a platform with broad applications across multiple industries . Shape the technical direction for a high-impact AI product. Collaborate with a visionary team backed by strong domain expertise. Competitive salary with performance-based incentives. 📩 Apply with your CV and portfolio to info@simploy.ai We would love to know what excites you the most about this role, please include a cover letter along with your application.