119 Prompt Engineering Jobs - Page 4

Lead Software Engineer GenAI Development and Exploration Location: India Experience: 510 Years Primary Skillset: Generative AI Services, Machine Learning, Python, Cloud, MLOps, Prompt Engineering About the Role: We are seeking a visionary and hands-on Lead Software Engineer to drive Generative AI development and exploration initiatives within our technology innovation team. This role is ideal for someone passionate about applying GenAI to real-world enterprise challenges and who enjoys building proof-of-concepts, production-ready solutions, and scalable AI platforms. Key Responsibilities: Lead the design and development of Generative AI applications, including LLM-based solutions, document intelligence, summarization, chatbot development, and intelligent automation. Evaluate and integrate GenAI services and APIs (e.g., Vertex AI, OpenAI, Anthropic, HuggingFace, etc.) into existing or new platforms. Build scalable backend services and data pipelines to support AI/ML workloads. Explore and validate use cases across multiple business functions for GenAI application and automation opportunities. Mentor junior engineers on GenAI design patterns, best practices, and engineering discipline. Partner with data scientists, product teams, and business stakeholders to define requirements, build MVPs, and iterate toward enterprise-scale solutions. Champion MLOps practices for GenAI model deployment, monitoring, and lifecycle management. Contribute to technical research, architecture recommendations, and the long-term GenAI roadmap. Qualifications: Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field. 8+ years of experience in software engineering with 23 years working directly with AI/ML models or GenAI solutions. Strong experience with Python, cloud platforms (especially GCP Vertex AI), and ML frameworks. Hands-on experience with LLMs, prompt engineering, fine-tuning, and embeddings. Experience in building and integrating GenAI services in real-time or batch applications. Solid understanding of machine learning lifecycle, data preprocessing, and deployment pipelines. Familiarity with CI/CD pipelines, API development, and cloud-native architectures. Excellent communication, collaboration, and stakeholder management skills.

About the job: Key responsibilities: 1. Build AI-driven tools and products using APIs (OpenAI, Gemini, etc.) 2. Design and fine-tune prompts for various use cases 3. Integrate vector databases (Pinecone, ChromaDB) for retrieval-augmented generation (RAG) 4. Collaborate with designers, content teams, and founders to turn ideas into polished tools Note: Only recent graduates are allowed to take the interview. Who can apply: Only those candidates can apply who: are Computer Science Engineering students Salary: ₹ 3,00,000 - 5,00,000 /year Experience: 0 year(s) Deadline: 2025-06-28 23:59:59 Skills required: Backend development, Artificial intelligence, Prompt Engineering, ChatGPT, Claude and Gemini Other Requirements: 1. Degree Btech - AI/Ml, others ( who has done AI/ML projects) 2. Strong understanding of LLM APIs (OpenAI, Claude, Gemini, etc.) 3. REST API integration and deployment knowledge 4. GitHub portfolio with working AI tools or integrations About Company: Stirring Minds is a premier startup ecosystem in India, dedicated to helping businesses launch, scale, and succeed. As a leading incubator, we provide funding, co-working spaces, and mentorship to support the growth of innovative companies. In addition to our incubator services, we also host the largest startup event in the country known as Startup Summit Live, bringing together entrepreneurs and industry leaders to connect, learn, and collaborate. Our community-driven approach extends beyond our event and incubator offerings, as we work to create communities of like-minded individuals who can support and learn from one another. We have been recognized by top media outlets both in India and internationally, including the BBC, The Guardian, Entrepreneur, and Business Insider. Our goal is to provide a comprehensive ecosystem for startups and help turn their ideas into reality.

What you will be doing As the AID Engr III Spec - Data Science - AI Product Manager for Business Enablement Organization, you will be responsible for Business engagement, architecting and building innovative solutions by applying cutting edge data science techniques. Engaging closely with the business stakeholders, understand problem statements and incubate ideas and models. Discovering insights using data modeling and analysis techniques that will guide strategic decisions and uncover optimization opportunities. Creating data science driven solutions that drive product effectiveness, personalization, better customer experience and operational efficiencies. Working closely with the stakeholder to prioritize the use cases and build the roadmap. Working with a talented team of data analysts, software developers and data science professionals who will play a key role in developing and delivering the next generation AI/ML solutions to the business. Having a passion to understand domains, systems and be able to associate business opportunities to this understanding and create analytical solutions Strategies and opportunities where data science and AI can be leveraged. Cross-team collaboration Working closely with other AI D pillars like AI Center, Data engineering and ML engineering and other groups Performing thorough data analysis, uncover opportunities and address business problems. Assertive and objective decision-making skills with the drive to deliver and arrive at solutions. Diagnosing business bottlenecks and provide prescriptive recommendations for stakeholders. What we are looking for You have excellent analytical skills, and are eager to work in a collaborative environment with global teams to drive data science applications for business problems, develop end-to-end analytical solutions and communicate insights and findings to leadership. You have strong expertise in VCG digital sales, Retail and in driving use cases that drive personalization. You are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various stakeholders and cross functional teams to implement data science driven business solutions. You will need to have: Bachelors degree or Four or more years of work experience. Three or more years of experience practicing data science in business. Prior experience working in a Product team and having a product mindset. Extensive experience with AI solutioning in the Networks related areas like workforce optimization, reliability, Energy optimization etc. Strong communication, presentation and collaboration skills. Good Consumer knowledge and experience. Excellent analytical skills and use case prioritizations to build the roadmap at the product level in alignment with the business and stakeholders. Excellent knowledge on machine learning and predictive modeling. Experience in identifying business opportunities and build impactful data science driven use cases. Excellent problem solving and critical thinking capabilities. Experience using different statistical/modeling techniques. Excellent working knowledge of SQL for data analysis and EDA using Python. Ability to create compelling narratives and articulate insights through strong storytelling skills. Experience working in analytics projects. Even better if you have one or more of the following: Experience interacting and collaborating deeply with other lines of business the ability to work across cross cultural teams. Experienced with A/B and Multivariate testing, and should be able to provide recommendations accordingly. Expertise in performing thorough data analysis using database queries, spreadsheets, statistical packages tools, and communicate results effectively. Experience with dev-ops and agile models, as well as more traditional functional operating models. Ability to interact and provide executive level communications to senior management. Exposure to GenAI and Prompt engineering. Experience managing time-bound project deliverables for multiple stakeholders.

We are seeking a hands-on, forward-thinking Machine Learning Technical Lead with deep expertise in traditional ML, NLP, Generative AI, and causal inference, and a strong understanding of multimodal large language models (LLMs) capable of processing both image and text data. The ideal candidate will lead the development, scaling, and evaluation of cutting-edge AI systems that deliver high business value from complex, high-volume datasets. This role involves team leadership, cloud-native ML deployment (AWS/Azure), statistical rigor, and clear communication of AI-driven insights to both technical and non-technical stake holders Key Responsibilities: Lead the design, development, and deployment of machine learning systems covering: Predictive modelling NLP tasks: NER, summarization, classification Generative AI: LLMs with prompt engineering and fine-tuning Causal inference and impact evaluation Multimodal modelling using vision-language models (e.g., CLIP, BLIP, GPT-4V) for use cases that involve image and text inputs Build and scale models that support impact evaluation, uplift modelling, and causal inference, using frameworks like Do Why, EconML, or CausalNex. Collaborate with stakeholders to define, quantify, and evaluate the causal impact of product interventions, policy changes, or ML-driven decisions. Architect scalable ML pipelines on AWS or Azure, handling high-throughput, multi-source data ingestion and model orchestration. Guide the integration of LLMs and prompt engineering into business workflows (e.g., classification, summarization, generative reasoning). Conduct deep exploratory data analysis (EDA) using statistical techniques: hypothesis testing, correlation analysis, regression diagnostics. Ensure robust MLOps practices including CI/CD, automated retraining, performance monitoring, and rollback strategies. Present AI findings, impact estimates, and strategic implications to technical peers, executives, and cross-functional partners. Mentor and manage a team of data scientists and ML engineers, fostering best practices and continuous innovation. Required Skills and Qualifications: Bachelors or Master’s in Computer Science, Statistics, Data Science, or related quantitative field. 6+ years of experience in AI/ML development, with 2+ years in a technical leadership capacity. Hands-on experience with: Predictive modelling (e.g., regression, XGBoost, tree-based models) NLP systems (e.g., NER, summarization, classification) Generative AI models (e.g., GPT, LLaMA) and prompt engineering Causal inference frameworks (e.g., DoWhy, EconML, Pyro) Strong statistical foundation with expertise in experimental design, counterfactual analysis, and impact evaluation. Proficiency in Python, PySpark, and libraries like scikit-learn, Hugging Face Transformers, and REST framework Candidate must be in Chennai or in the nearby districts, or in the nearby states of Kerala, Karnataka and willing to relocate to Chennai

What you will be doing As the AI&D Senior Engineer Consultant - Data Science - AI Product Manager for Business Enablement Organization, you will be responsible for Business engagement, architecting and building innovative solutions by applying cutting edge data science techniques. Engaging closely with the business stakeholders, understand problem statements and incubate ideas and models. Discovering insights using data modeling and analysis techniques that will guide strategic decisions and uncover optimization opportunities. Creating data science driven solutions that drive product effectiveness, personalization, better customer experience and operational efficiencies. Working with a talented team of data analysts, software developers and data science professionals who will play a key role in developing and delivering the next generation AI/ML solutions to the business. Having a passion to understand domains, systems and be able to associate business opportunities to this understanding and create analytical solutions Working closely and engage with key business stakeholders in discussion on business strategies and opportunities where data science and AI can be leveraged. Cross-team collaboration Work closely with other AI & D pillars like AI Center, Data engineering and ML engineering and other groups Driving technical innovation through active research and applications of new theories, techniques, and technologies. Performing thorough data analysis, uncover opportunities and address business problems Being a subject matter expert on machine learning and predictive modeling and a mentor to junior data scientists. Work closely with the stakeholder to prioritize the use cases and build the roadmap. Assertive and objective decision-making skills with the drive to deliver and arrive at solutions. Diagnosing business bottlenecks and provide prescriptive recommendation for stakeholders. What we are looking for: You have excellent analytical skills, and are eager to work in a collaborative environment with global teams to drive data science applications for business problems, develop end-to-end analytical solutions and communicate insights and findings to leadership. You have strong expertise in VCG/VBG digital sales, Retail and in driving use cases that drive personalization. You are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various stakeholders and cross functional teams to implement data science driven business solutions. You will need to have: Bachelors degree or four or more years of work experience. Four or more years of relevant work experience. Four or more years of experience practicing data science in business. Experience in working on a product team and with a Product mindset. Extensive experience with AI solutioning in the Networks related areas like workforce optimization, reliability, Energy optimization etc. Strong communication, presentation and collaboration skills. Strong Negotiation skills with the internal and external stakeholders. Experience in identifying business opportunities and build impactful data science driven use cases. Excellent problem solving and critical thinking capabilities. Experience using different statistical/modeling techniques. Excellent working knowledge of SQL for data analysis and EDA using Python. Ability to create compelling narratives and articulate insights through strong storytelling skills. Experience working end to end in analytics projects. At an SME capacity, ability to groom the team on business process and data analysis. Prior experience working in a Product team and having a product mindset. Strong Consumer knowledge and experience. Excellent analytical skills and use case prioritizations to build the roadmap at the product level in alignment with the business and stakeholders. Even better you have one or more of the following: Experience in leading data management and data analysis activities. Experience interacting and collaborating deeply with other lines of business & the ability to work across cross cultural teams. Experienced with A/B and Multivariate testing, and should be able to provide recommendations accordingly. Expertise in performing thorough data analysis using database queries, spreadsheets, statistical packages & tools, and communicate results effectively. Experience with dev-ops and agile models, as well as more traditional functional operating models. Ability to interact and provide executive level communications to senior management. Exposure to GenAI and Prompt engineering. Experience managing time-bound project deliverables for multiple stakeholders.

We're hiring a Head of Engineering at Zonka Feedback . Own the Stack, Scale AI, Lead the Vision!! Company Profile: Zonka Feedback is a powerful, AI-driven customer experience (CX) and feedback platform that helps businesses capture feedback, measure, and improve customer satisfaction across various touchpoints, and drive strategic growth. With seamless integrations into major CRMs like Salesforce and HubSpot, Zonka Feedback empowers brands worldwide to listen to customer voices and make data-driven decisions through multi-channel feedback collection, advanced reporting, and AI insights. Get to know more about us at www.zonkafeedback.com We're building an AI-first SaaS platform that's redefining how feedback systems work and combines: Smart prompting and automation Seamless ML model integration and fine-tuning Rich analytics and actionable insights Scalable infra to handle millions of requests and third-party integrations Agentic, autonomous workflows Job Role: We are looking for a dynamic Head of Engineering to architect and build scalable, AI-powered systems using modern technologies including Node.js, Python, React, AWS, and Serverless frameworks. In this role, you will play a critical part in shaping our core product by integrating advanced AI/ML models and developing intelligent automation workflows. As a key technical leader, you will guide a lean team of engineers, drive high-impact architectural decisions, and ensure the reliability, security, and performance of our systems. Ideal candidates have 7 to 15+ years of software development experience, with deep expertise in full-stack development, cloud architecture, and AI/ML integration. They have a proven track record of leading teams in fast-paced SaaS or startup environments, along with hands-on experience working with large-scale datasets, vector databases, and advanced NLP and LLM technologies . Key Responsibilities: Drive the engineering vision and execution for Zonkas AI-first customer experience platform Build and integrate ML/NLP systems, including LLMs and vector databases Architect and develop scalable systems using Node.js, Python, React, AWS, and Serverless Design and implement AI-powered workflows and automation pipelines Optimize infrastructure, DevOps, CI/CD , monitoring, and cost efficiency Lead and mentor a lean team of engineers; drive hiring and performance Collaborate with product and design teams to execute the product roadmap Maintain high code quality, system reliability, and security Leverage modern tools like GitHub Copilot, WindSurfer, and Cursor to drive productivity Requirements: 7 - 15 years of hands-on software development including full-stack development and system architecture Strong background in NLP, ML, and deploying LLM-based solutions in production environments Skilled in prompt engineering and RAG architecture Experience working with large datasets, ElasticSearch, and vector databases Strong expertise in Node.js, Python, AWS, React and scalable systems architecture Prior experience building and leading engineering teams in SaaS or startup environments Ability to balance leadership, architecture, and hands-on coding Familiarity with DevOps, CI/CD, infrastructure monitoring, and security best practices Excellent problem-solving, communication, and team-building skills If this sounds like you, we are here to have the next talk. Share your resume on hr@zonkafeedback.com

Company BlackNGreen Mobile Solutions Pvt. Ltd. (BNG) Website http://blackngreen.com/ www.nexiva.ai Share your resume on anu.singh@blackngreen.com or Hit on APPLY button!! We are currently in search of a dynamic and results-driven individual to join us as the Azure Specialist. Your extensive experience caught our eye, and we believe that your skills align perfectly with what we are looking for. Key Responsibilities: Design, implement, and maintain cloud infrastructure across Azure, AWS, and Google Cloud (GCP) is add on. Manage and administer Linux-based systems and services across cloud environments Perform regular audits of cloud usage, access, performance, and compliance Optimize cloud deployments for performance, scalability, and cost-efficiency Plan and implement high-availability and disaster recovery strategies Monitor cloud services for uptime, health, and security anomalies Continuously analyze and optimize cloud spend across providers Maintain CI/CD pipelines and automate infrastructure provisioning Ensure cloud environments adhere to industry best practices and compliance standards Collaborate with development and security teams to align cloud strategy with application needs Troubleshoot and resolve cloud and Linux infrastructure issues efficiently Create and maintain documentation for cloud architecture, policies, and procedures Required Qualifications: Bachelors/Masters in Computer Science, Information Technology, or related field 5+ years of experience in cloud infrastructure and Linux system administration Strong hands-on experience with Azure and AWS services and consoles Proficiency in Linux server management, scripting (Bash, Python), and automation Familiarity with IaaS, PaaS, serverless computing, and container platforms (e.g., Docker, Kubernetes) Solid understanding of cloud networking, firewalls, routing, and VPNs Experience using cloud cost management tools (AWS Cost Explorer, Azure Cost Management, etc.) Hands-on experience with Infrastructure as Code (IaC) and DevOps practices Certifications in one or more cloud platforms (Azure Admin, AWS SysOps, GCP Associate Cloud Engineer) Knowledge of cloud security frameworks, IAM roles/policies, and encryption best practices Strong analytical and troubleshooting skills Excellent verbal and written communication skills About BNG: BlackNGreen is not just another telecom or internet software solutions company; we're a 15-year-old innovation powerhouse that touches the lives of over 2 billion people across 90+ countries. Welcome to the future of telecom and internet solutions! With a legacy spanning 15 years, BlackNGreen touches the lives of over 2 billion people across 90+ countries. We're not just a company; we're a global innovation powerhouse. Our ground breaking products and services have made us a preferred partner for top telecom operators worldwide. Highlights - Among the fastest growing mobile technology companies in the world. - Currently present in 150+ Countries. - Among the top 3 revenue generating partners at most locations. - Pioneering several path-breaking mobile services and technology platforms. Anu Singh DGM Recruitment anu.singh@blackngreen.com

Role & responsibilities Design and build AI-powered features that help customers configure integrations, transform data, and resolve errors using natural language and intelligent automation. Lead the implementation of Retrieval-Augmented Generation (RAG) pipelines that combine LLMs with real-time data from customer environments. Integrate Azure OpenAI services and develop optimized prompt strategies for scalable use across our iPaaS platform. Implement and manage vector databases such as Milvus , FAISS , Pinecone , or Azure Cognitive Search to support contextual retrieval and semantic search. Build intelligent AI agents using frameworks like LangChain or Semantic Kernel that can perform step-by-step automation across integration workflows. Collaborate with product and UX teams to embed AI in user-centric ways that simplify complexity and improve customer outcomes. Ensure scalable and reliable deployments through best practices in Docker , Kubernetes , and CI/CD pipelines . AI Engineer Full Time (Permanent) Noida Preferred candidate profile 5-8 years of experience in AI/ML engineering, including production systems. Strong experience with LLMs , prompt engineering , and designing AI features. Proven track record building and deploying RAG pipelines and using vector search effectively. Experience with vector databases like Milvus , FAISS , Pinecone , or Azure Cognitive Search . Hands-on experience with Azure OpenAI , including GPT models and embedding APIs. Experience developing AI Agents with LangChain or Semantic Kernel. Solid Python skills and familiarity with Hugging Face Transformers. Background in natural language processing (NLP) , unstructured data processing , or knowledge graph development . Proficiency in containerization ( Docker , Kubernetes ) and CI/CD for scalable deployments.

Backend Developer Experience: 1 - 3 Years Exp. Salary : INR 15-20 Lacs per annum Preferred Notice Period : Within 60 Days Shift : 10:00AM to 7:00PM IST Opportunity Type: Onsite (Bengaluru) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Python, MicroServices, Rest APIs, LLM, Ai products, Amazon AWS, Cloud Services Good to have skills : Agent Orchestration, AI-powered SaaS, open-source projects, Prompt engineering Lyzr (One of Uplers' Clients) is Looking for: Backend Developer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description What Youll Do : Design and develop backend services that power GenAI applications and platforms Build APIs and infrastructure to support LLM-based features, tools, and agent workflows Collaborate with frontend, ML, and product teams to create seamless AI experiences Optimize backend systems for performance, scalability, and reliability Work with vector databases, data pipelines, and AI model endpoints (OpenAI, Anthropic, Hugging Face, etc.) Maintain clean, secure, and production-grade code Contribute to the architecture and roadmap of our GenAI stack What Were Looking For : 13 years of experience in backend development Proficient in Python Strong experience with REST APIs, microservices, and scalable cloud infrastructure Experience building or supporting GenAI applications and/or LLM-powered products Comfortable working with vector databases (e.g., Pinecone, Weaviate, FAISS) and RAG pipelines Exposure to cloud services (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Excellent problem-solving, communication, and collaboration skills Nice to Have Experience building and scaling AI-powered SaaS products Contributions to open-source GenAI projects Understanding of prompt engineering and agent orchestration frameworks Interview process : Technical Round Technical Round Techno-Managerial Round ( Face to Face in company office ) How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Lyzr Agent Studio is the only platform you need to create, deploy, and manage AI agents tailored for your business. Build smarter, faster, and scalable AI solutions in just a few clicks. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Work Location: Chennai Experience: 3+ Years Please share your updated profile to sugantha.krishnan@acldigital.com Role & responsibilities Good experience in design and develop custom applications on the ServiceNow platform & Strong understanding in ServiceNow module ITSM. Proficiency in JavaScript / React / PowerShell Good experience in GenAI (OpenAI, Azure OpenAI, Llama, Prompt Engineering, RAG, Azure Agentic AI, LLMs ML, LLM.)

About the Role: We are seeking a highly skilled and passionate Senior Data Scientist to join our growing AI/ML team. In this role, you will play a crucial part in developing cutting-edge AI solutions within the healthcare domain. You will focus on building and refining sophisticated Large Language Models (LLMs) to address critical challenges and improve healthcare outcomes. Key Responsibilities : - Develop and refine LLMs tailored for specific healthcare applications (e.g. , medical diagnosis, drug discovery, patient care). - Design and implement robust data pipelines for collecting, cleaning, and preparing high-quality healthcare datasets for LLM training. - Conduct thorough experimentation with different LLM architectures, hyperparameters, and training techniques. - Fine-tune pre-trained LLMs on specific healthcare tasks and datasets. - Implement techniques for improving LLM performance, such as prompt engineering, few-shot learning, and reinforcement learning. - Develop and implement rigorous evaluation metrics to assess the performance of LLMs on various healthcare tasks. - Conduct thorough model validation and testing to ensure accuracy, reliability, and safety. - Monitor model performance in production and identify areas for improvement. - Stay abreast of the latest advancements in LLM research and development. - Explore and implement cutting-edge techniques in natural language processing (NLP) and machine learning. - Conduct research and development on novel applications of LLMs in the healthcare domain. - Collaborate effectively with data engineers, clinicians, researchers, and other stakeholders. - Clearly communicate complex technical concepts to both technical and non-technical audiences. - Present research findings and project updates to team members and stakeholders. Qualifications : Essential : - Master's or Ph.D in Computer Science, Artificial Intelligence, Machine Learning, or a related field. - 3+ years of experience in developing and deploying machine learning models, with a strong focus on NLP and deep learning. - Proven experience in building and fine-tuning large language models. - Strong proficiency in Python and experience with deep learning frameworks (e.g. , TensorFlow, PyTorch). - Experience with data preprocessing, feature engineering, and model evaluation techniques. - Excellent analytical and problem-solving skills. - Strong communication and interpersonal skills

you a Full Stack Engineer passionate about AI, automation , and transforming the way businesses communicate? At InfotechLaunch.com , were on a mission to modernize and automate mundane tasks through smart AI Voice Agents and advanced full-stack applications. Were looking for builders and problem-solvers engineers who dont just code but innovate, optimize, and deliver with passion and precision. This is a full-time, fully remote position for someone who thrives in a fast-paced environment, enjoys direct interaction with clients, and is committed to delivering AI solutions that work every time. Your Role Architect AI Voice Systems Build intelligent AI Voice Agents using Retell , Vapi.ai , and integrate OpenAI GPT-4 , Google Vertex AI , and custom LLMs. Implement natural-sounding conversations , task automation, and real-time event handling. Full-Stack Development Develop scalable, secure, and performant applications with Node.js , Python , Flutter , and React . Build intuitive frontends and powerful backends that integrate seamlessly with AI. UI/UX expert with hands-on experience designing applications using Figma, Adobe XD, and Sketch. Prompt Engineering & LLM Integration Craft effective prompts, design agent logic, and fine-tune LLM-based workflows for real-world tasks. Cloud Infrastructure & DevOps Design and manage cloud infrastructure on AWS , GCP , or Azure , with CI/CD pipelines , Docker , and Kubernetes . Automate testing, deployment, and monitoring of production environments. API & CRM Integration with Make.com Create smart automation using Make.com , Cal.com , Zapier , and integrate with CRMs like HubSpot , Zoho , and Pipedrive . Confidently read and implement API docs, troubleshoot and optimize flows. Direct Client Collaboration Work closely with clients to build, test, and refine solutions. Gather feedback, improve models, and deliver impactful outcomes. What We Expect 89 hours/day of focused, committed remote work Excitement to work with real clients and improve real products A passion for clean code , clear communication , and continuous improvement Required Skills 5+ years of experience in Full Stack Development (Node.js, Python, Flutter, React/Next.js) 23 years working with AI APIs , LLMs , and conversational AI workflows Experience building AI Voice Agents using Retell, Vapi.ai, or similar Deep knowledge of Prompt Engineering and LLM optimization Proficiency in Flutter for mobile and React/Next.js for web Cloud DevOps: AWS/GCP/Azure, CI/CD pipelines, Docker/Kubernetes Strong background in Make.com , Zapier, Cal.com, and REST API integrations CRM Integration: HubSpot, Zoho, Pipedrive Strong debugging, version control (Git), and documentation skills Bonus Skills Voice tech: Whisper, Google Speech, ElevenLabs AI search: LangChain, Pinecone, Weaviate NLP tools: spaCy, HuggingFace Transformers Payment/Bookings: Stripe, Twilio, Firebase Auth What You Get Opportunity to innovate real-world AI workflows Work from anywhere , flexible yet committed Performance-based compensation after 1st month Direct access to clients, decision-makers, and leadership Be part of a fast-growing company using AI to change industries Mentorship and guidance to advance your career and technical depth How to Apply Send us your: Resume / LinkedIn GitHub / Portfolio Details on past AI Voice Agent, Make.com, LLM work Note on why youre excited to automate the future with us! If you align with our expectations and agree to the terms and conditions, please send a message on WhatsApp to +91 81097 31880 to discuss further. Skills : - AI Voice Agent, Full Stack Developer, Python, Node.js, Flutter, React, OpenAI, ChatGPT, Google Vertex AI, Conversational AI, Retell, Make.com, LLM, Prompt Engineering, Cloud Infrastructure, AWS, GCP, Azure, Docker, Kubernetes, CI/CD, Remote Work, AI Developer, API Integration, Digital Transformation, AI Applications, NLP, Speech Recognition, VOPI, AI Hiring, CRM Integrations

Job Title: AI/ML and Chatbot Lead Experience Level: 10+ Years (Lead/Architect level) Location: Remote Employment Type: Full-time No. of Positions: 1 Job Overview: We are seeking a visionary and hands-on AI/ML and Chatbot Lead to spearhead the design, development, and deployment of enterprise-wide Conversational and Generative AI solutions. This role will establish and scale our AI Lab function, define chatbot and multimodal AI strategies, and deliver intelligent automation solutions that enhance user engagement and operational efficiency. Key Responsibilities Define and lead the enterprise-wide strategy for Conversational AI, Multimodal AI, and Large Language Models (LLMs). Build an AI/Chatbot Lab , creating a roadmap and driving innovations across in-app, generative, and conversational AI. Architect scalable AI/ML systems including presentation, orchestration, AI, and data layers. Collaborate with business stakeholders to assess needs, conduct ROI analyses, and deliver impactful AI use cases. Identify and implement agentic AI capabilities and SaaS optimization opportunities. Deliver POCs, pilots, and MVPs owning the design, development, and deployment lifecycle. Lead, mentor, and scale a high-performing team of AI/ML engineers and chatbot developers . Build multi-turn, memory-aware conversations using frameworks like LangChain or Semantic Kernel . Integrate bots with platforms like Salesforce, NetSuite, Slack , and custom applications via APIs/webhooks. Implement and monitor chatbot KPIs using tools like Kibana , Grafana , and custom dashboards. Champion ethical AI , governance, and data privacy/security best practices. Must-Have Skills 10+ years in AI/ML; demonstrable success in chatbot, conversational AI , and generative AI implementations. Experience building and operationalizing an AI/Chatbot architecture framework used enterprise-wide. Expertise in: Python , LangChain, ElasticSearch, NLP (spaCy, NLTK, Hugging Face) LLMs (e.g., GPT, BERT), RAG, prompt engineering Chatbot platforms (Azure OpenAI, MS Bot Framework), CLU, CQA AI solution deployment and monitoring at scale Familiarity with: Machine learning algorithms, deep learning, reinforcement learning NLP techniques for NLU/NLG Cloud platforms ( AWS, Azure, GCP ), Docker , Kubernetes Vector DBs (Pinecone, Weaviate, Qdrant) Semantic search, knowledge graphs, intelligent document processing Strong grasp of AI governance , documentation, and compliance standards Excellent team leadership, communication, and documentation skills Good-to-Have Skills Experience with Glean , Perplexity.ai , Rasa , XGBoost Familiarity with Salesforce , NetSuite , and business domains like Customer Success Knowledge of RPA tools like UiPath and its AI Center Role & responsibilities Interested candidate can call at 7087707007

Python coding, Machine Learning, AI, CI/CD platform, LLM, Big data Develop and evaluate prompts for AI agents, chatbots, and other capabilities. Test and analyze outputs from AI by experimenting with different

Prompt Engineer Experience - 3 to 6 years Location - Chennai Timing - General shift Notice period - Less than 15 days Contract period - 6 months JD: Role Overview: We are looking for a talented and creative Prompt Engineer to join our AI team. In this role, you will design, develop, and refine prompts for large language models (LLMs) to solve business problems, improve product functionality, and optimize user experiences. Your work will directly impact how our products interact with users and leverage cutting-edge AI models. Responsibilities: Design and iterate on effective prompts to drive high-quality responses from LLMs (e.g., GPT-4, Claude, Gemini, etc.). Collaborate with AI researchers, data scientists, and product managers to develop prompt strategies aligned with business goals. Evaluate LLM performance, analyze outputs, and optimize prompts based on performance metrics. Conduct A/B testing of prompts and maintain a library of prompt templates. Stay current on developments in generative AI, NLP, and prompt engineering best practices. Develop documentation, tools, and internal guides to help teams effectively use LLMs. Ensure ethical and responsible use of AI systems, identifying and mitigating model bias or inappropriate outputs. Qualifications: Required: Bachelor's degree in Computer Science, Linguistics, Cognitive Science, or a related field. Strong understanding of LLMs and natural language processing (NLP). Hands-on experience with prompt design for ChatGPT, Claude, Gemini, or similar models. Excellent written communication and analytical skills. Familiarity with programming/scripting (Python preferred) and basic data handling. Preferred: Masters degree or higher in a relevant field. Experience with fine-tuning or RLHF (Reinforcement Learning with Human Feedback). Exposure to prompt chaining, function calling, and multi-model orchestration. Experience using tools such as LangChain, LlamaIndex, or vector databases like Pinecone or Weaviate. Sincerely, Varsha L TS

Minimum experience: 5 years. Basic Guidelines : Ensure all submitted CVs are up to date. Maximum Notice Period 3 weeks Willingness to go for face 2 face interview in 24 hours. Employment verification 5 years and 7 years criminal background check. No fake and proxy interviews. Vendors will be blacklisted by TSI/ our Client, if guilty. Maintain the below tracker. Java Fullstack developer Primary skills: Java 8/11, Spring boot, Microservices, Rest API, UI REACT JS, REDUX Location: Bangalore and Chennai 2. Python + UI/API developer Primary skills: Python, Rest API, UI REACT JS, REDUX Location: Gurgaon 3.UI Engineer Primary skills: UI REACT JS, REDUX, JavaScript,ES6/Typescript,HTML5,CSS3,Bootstrap) Secondary skills: Java 8/11, Spring boot, Microservices, Rest API Location: Gurgaon and Bangalore 4. API Automation tester + Java scripting API Automation testing, Java scripting, SQL, MongoDB, Selenium Secondary skills: Rest assured / karate, Cucumber framework. DB Concepts, json queries Location: Bangalore and Gurgaon Job Description: 5+ years in Quality Assurance and testing. Demonstrated experience with Java or Python. Good experience in API automation using Selenium (Rest Assured or any other framework for automation and POSTMAN for manual). Preferably worked on creating frameworks. Must be well versed in BDD Cucumber frameworks. Working knowledge of MySQL and its implementation. Experience in creating scripts through REST APIs. Able to manage multiple work streams, independent, able to communicate well. Required Details Candidate's Full Name (As per passport): Contact Number: Email ID: Passport: LinkedIn ID link: Location (City & State): Relocation (Yes / No): Availability to join the project: Total working Experience: Currently on project (Yes/No): Have you Ever worked with Client: (If yes details) Any Interviews Pending: Any Offers in hand: Have you been submitted by Client: Any Issue with BGC: Bachelors details: Masters details: Rate: please submit your resumes to Naveen@tanishasystems.com

Role - Senior Data Scientist / Senior Gen AI Engineer Exp Range - 8 to 18 yrs Position - Permanent Fulltime Company - Data Analytics & AIML MNC Location - Hyderabad, Pune, Bangalore (Relocation accepted) About the Role: We are seeking a Software Engineer with expertise in Generative AI and Microsoft technologies to design, develop, and deploy AI-powered solutions using the Microsoft ecosystem. You will work with cross-functional teams to build scalable applications leveraging generative AI models and Azure services. Skills Required: Experience with Large Language Models (LLMs) like GPT, LLaMA, Claude, etc. Proficiency in Python for building and fine-tuning AI/ML models Familiarity with LangChain , LLMOps , or RAG (Retrieval-Augmented Generation) pipelines Experience with Vector Databases (e.g. FAISS, Pinecone, Weaviate) Knowledge of Prompt Engineering and model evaluation techniques Exposure to cloud platforms (Azure, AWS or GCP) for deploying GenAI solutions Preferred Skills: Experience with Azure OpenAI , Databricks or Microsoft Fabric Hands-on with Hugging Face Transformers , OpenAI APIs or custom model training

Role & responsibilities We are looking for Gen AI Engineer position permanent position with US MNC for Bangalore/Chennai/Pune/Noida/Gurgaon location (Hybrid). Preferred candidate profile Experience Hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration. Key Responsibilities: Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines. Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions. Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives. Translate business needs into scalable, production-ready AI solutions. Work closely with business SMEs and data teams to ensure alignment of AI models with real-world use cases. Contribute to architecture discussions, code reviews, and performance optimization. Skills Required: Proficient in Python, Langchain, and SQL. Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows. Background in machine learning or software engineering with a focus on system-level thinking. Experience working with cloud platforms like AWS, Azure, or GCP. Ability to work independently while collaborating effectively across teams. Excellent communication and stakeholder management skills. Preferred Qualifications: Hands-on experience in LLMs and Generative AI techniques. Experience contributing to ML/AI product pipelines or end-to-end deployments. Familiarity with MLOps and scalable deployment patterns for AI models. Prior exposure to client-facing projects or cross-functional AI teams.

Role & responsibilities We are looking for Gen AI Engineer position permanent position with US MNC for Bangalore/Chennai/Pune/Noida/Gurgaon location (Hybrid). Preferred candidate profile Experience Hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration. Key Responsibilities: Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines. Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions. Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives. Translate business needs into scalable, production-ready AI solutions. Work closely with business SMEs and data teams to ensure alignment of AI models with real-world use cases. Contribute to architecture discussions, code reviews, and performance optimization. Skills Required: Proficient in Python, Langchain, and SQL. Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows. Background in machine learning or software engineering with a focus on system-level thinking. Experience working with cloud platforms like AWS, Azure, or GCP. Ability to work independently while collaborating effectively across teams. Excellent communication and stakeholder management skills. Preferred Qualifications: Hands-on experience in LLMs and Generative AI techniques. Experience contributing to ML/AI product pipelines or end-to-end deployments. Familiarity with MLOps and scalable deployment patterns for AI models. Prior exposure to client-facing projects or cross-functional AI teams.

Skills: 1] Hands-on experience in LLM/ML based application development 2] Productionizing LLM/ML apps Data Handling/processing/engineering Dataset creation/curation 3] Understanding of different LLM performance metrics, fine-tuning, prompt engineering 4] Image/Video Processing 5] Generative AI, OpenAI, Claude Knowledge. Good in Prompt Engineering, autogen or similar agentic framework knowledge Skills : - LLM/ML ,application development, Data Handling,Data processing,Data engineering,Dataset creation, LLM performance metrics, fine-tuning, prompt engineering, Image/Video Processing, Generative AI, OpenAI, Claude, Prompt Engineering, autogen, agentic framework

Skills : 1] Hands-on experience in LLM/ML based application development 2] Productionizing LLM/ML apps Data Handling/processing/engineering Dataset creation/curation 3] Understanding of different LLM performance metrics, fine-tuning, prompt engineering 4] Image/Video Processing 5] Generative AI, OpenAI, Claude Knowledge. Good in Prompt Engineering, autogen or similar agentic framework knowledge

Role & responsibilities Lead the architecture and deployment of LLM and GenAI-based applications. Fine-tune and optimize state-of-the-art LLMs including GPT, LLaMA, Claude, Mistral, etc. Design and implement advanced prompt engineering and Retrieval-Augmented Generation (RAG) systems. Collaborate with data scientists, backend engineers, and product teams to deliver robust AIdriven solutions. Ensure security, performance, and cost optimization in model training and deployment. Translate complex business requirements into scalable GenAI solutions. Maintain best practices in code quality, version control, and documentation. Proven expertise in LLM fine-tuning, deployment, and inference workflows. Strong experience in Prompt Engineering and RAG (Retrieval-Augmented Generation) systems. Proficient in Python with hands-on experience in building AI pipelines. Demonstrated ability to lead system design and architecture for GenAI applications Preferred candidate profile Familiarity with GenAI toolkits such as LangChain, LlamaIndex, Haystack, or custom-built frameworks. Exposure to Microsoft Azure (preferred over AWS or GCP) for cloud deployments. Experience with scalable, secure AI infrastructure and CI/CD pipelines for ML models

Are you an exceptionally skilled and highly motivated individual with a deep passion for quantitative finance, data science, end-to-end automation, cutting-edge AI tools, and creating impactful educational content ? Do you possess an unparalleled command of Python, advanced mathematics, statistical modeling, and the ability to effectively communicate complex concepts for online learning? If so, we have an extraordinary opportunity for you! We are seeking a Highly Paid Quant Analyst Intern for a demanding yet incredibly rewarding 6-month remote internship in India. This role is designed for ambitious individuals who are ready to dive deep into real-world quantitative challenges, drive efficiency through comprehensive automation, leverage the power of new AI tools (like Claude, ChatGPT, Perplexity, Gemini), and crucially, develop high-quality quantitative education content for our online platforms. Key Responsibilities: Quantitative Research & Model Development: Apply your expertise to research, develop, and refine quantitative models, trading strategies, and analytical tools. Quantitative Education Content Creation: Design, develop, and refine engaging and accurate quantitative education content (e.g., lessons, exercises, case studies, coding tutorials) for Gotraddy's online courses and training programs. Data Science & Analytics: Perform in-depth analysis of financial datasets, identify patterns, and extract actionable insights to inform and enhance our course materials and practical exercises. End-to-End Workflow Automation: Design, build, and maintain robust automated pipelines and tools for data processing, model testing, and the creation of interactive learning simulations and demonstrations, leveraging tools like n8n and Make . AI Tool Integration & Prompt Engineering: Proactively explore and effectively utilize new AI tools (e.g., Claude, ChatGPT, Perplexity, Gemini ) through advanced prompt engineering to assist in research, content generation, problem-solving, and efficiency improvements for educational material. Mathematical & Statistical Application: Leverage your understanding of advanced mathematical concepts (e.g., probability, stochastic calculus, optimization) to create clear, practical examples and solve complex problems for educational purposes. Content Validation & Improvement: Rigorously test and validate existing and new quantitative content, ensuring accuracy, relevance, pedagogical effectiveness, and a seamless online learning experience. Collaboration & Innovation: Work closely with our experienced educators and content creators to translate complex quantitative concepts into accessible and engaging learning experiences. What We're Looking For: Education: Currently pursuing or recently completed a Bachelor's, Master's, or Ph.D. in a highly quantitative field such as Quantitative Finance, Mathematics, Statistics, Computer Science, Data Science, or a related discipline. Exceptional Python Skills: Expert-level proficiency in Python, including extensive experience with libraries like NumPy, Pandas, SciPy, Scikit-learn , and ideally, specialized quantitative finance libraries. Strong Data Science Acumen: Proven ability in data manipulation, statistical analysis, machine learning (regression, classification, time series), and data visualization. Solid Mathematical Foundation: Deep understanding of linear algebra, multivariate calculus, probability theory, stochastic processes, and numerical methods. Automation Prowess: Demonstrated experience in automating complex workflows and processes using Python scripting and/or workflow automation tools like n8n or Make. Proficiency in Prompt Engineering: Demonstrated ability to effectively use and extract valuable insights from large language models and other AI tools (e.g., Claude, ChatGPT, Perplexity, Gemini). Content Creation Aptitude: Strong ability to articulate complex quantitative concepts clearly, concisely, and engagingly for an online learning audience. Experience with educational content development is a significant plus. Highly Motivated: A proactive, self-starter attitude with a strong desire to learn, contribute, and elevate educational content. Problem-Solving: Excellent analytical and problem-solving skills, with a keen eye for detail. Communication: Strong verbal and written communication skills. Location: Ability to work remotely from India. Desired Skills: While not strictly mandatory, candidates possessing the following skills will be highly regarded: Advanced Python Development: Experience with more complex Python frameworks or building robust applications. In-depth Data Science Techniques: Exposure to advanced topics like deep learning for financial applications, causal inference, or advanced time series analysis. Mathematical Sophistication: Knowledge of advanced optimization, numerical methods, or stochastic calculus applied to finance. AI Tool Power User: Proven track record of leveraging AI tools (Claude, ChatGPT, Perplexity, Gemini) for complex problem-solving, code generation, or sophisticated content ideation. Workflow Automation Mastery: Experience in designing and implementing complex, multi-step automated workflows using tools like n8n or Make for diverse applications. Educational Content Design: Prior experience in designing curricula, writing lessons, or creating interactive learning modules for quantitative subjects. Creative Writing & Pedagogy: Ability to distill complex technical information into clear, engaging, and creatively presented educational materials suitable for diverse learning styles. What We Offer: Exceptional Compensation: This is a highly competitive and very well-paid internship , acknowledging your top-tier skills and potential contribution to our firm. Impactful Contribution: Your work will directly enhance the learning experience for aspiring quantitative professionals globally, shaping the future of quantitative education. Deep Learning & Growth: An unparalleled opportunity to deepen your quantitative skills and master the integration of cutting-edge AI, workflow automation, and educational content creation. Mentorship: Direct mentorship from seasoned quantitative professionals and educators who are also exploring AI and automation frontiers. Dynamic Remote Environment: A collaborative, intellectually stimulating, and fast-paced remote work environment that fosters innovation in quantitative education, AI application, and content development. Flexibility: The convenience of a remote role, allowing you to work from anywhere in India. Career Pathway: Strong potential for a full-time conversion offer upon successful completion of the internship, contributing to our core education and research initiatives. Internship Duration: 6 Months Location: Remote (India)

About the job: Key responsibilities: 1. Build AI-driven tools and products using APIs (OpenAI, Gemini, etc.) 2. Design and fine-tune prompts for various use cases. 3. Integrate vector databases (Pinecone, ChromaDB) for retrieval-augmented generation (RAG) 4. Use tools like LangChain or LlamaIndex for multi-step worklows 5. Collaborate with designers, content teams, and founders to turn ideas into polished tools Who can apply: Only those candidates can apply who: are Computer Science Engineering students Salary: ₹ 3,20,000 - 6,50,000 /year Experience: 0 year(s) Deadline: 2025-06-22 23:59:59 Skills required: Natural Language Processing (NLP), Deep Learning, Prompt Engineering, ChatGPT, Claude, Gemini, LLMOps and Model fine-tuning Other Requirements: 1. Degree Btech - AI/Ml, others ( who has done AI/ML projects) 2. Strong understanding of LLM APIs (OpenAI, Claude, Gemini, etc.) 3. REST API integration and deployment knowledge 4. GitHub portfolio with working AI tools or integrations About Company: Stirring Minds is a premier startup ecosystem in India, dedicated to helping businesses launch, scale, and succeed. As a leading incubator, we provide funding, co-working spaces, and mentorship to support the growth of innovative companies. In addition to our incubator services, we also host the largest startup event in the country known as Startup Summit Live, bringing together entrepreneurs and industry leaders to connect, learn, and collaborate. Our community-driven approach extends beyond our event and incubator offerings, as we work to create communities of like-minded individuals who can support and learn from one another. We have been recognized by top media outlets both in India and internationally, including the BBC, The Guardian, Entrepreneur, and Business Insider. Our goal is to provide a comprehensive ecosystem for startups and help turn their ideas into reality.

Key Skills & Expertise: Data Analysis & Statistical Modeling: Proven ability to analyze, interpret, and model complex datasets for business insights. SQL & Programming: Proficient in SQL, with expertise in data querying, optimization, and management. Prompt Engineering & AI: Strong understanding of prompt engineering, machine learning (ML), and Generative AI (GenAI). Data Visualization: Hands-on experience with data visualization techniques, utilizing tools like Power BI, Tableau, Looker Studio (good to have). Big Data & Cloud Technologies: Familiar with big data frameworks, cloud computing platforms, and data warehousing solutions. Data Mining & Predictive Modeling: Skilled in data mining techniques and predictive analytics for actionable insights. Large-Scale Data Handling: Experienced in working with large datasets, databases, and on-prem to cloud migrations. Communication & Problem-Solving: Strong analytical thinking, teamwork, and ability to interpret complex data for business decisions. Industry Expertise: Knowledge of the Finance domain (good to have).