1891 Openai Jobs - Page 39

We are looking for a passionate and experienced Full Stack Developer to join our core product development team. This role is perfect for someone who has independently built or led full stack projects and has the leadership potential to guide other developers. If you're excited about AI tools like ChatGPT, Claude, GitHub Copilot, and Tabnine, and want to build smart, scalable web applications—this is the opportunity for you. Responsibilities:- Build and maintain full-stack web applications using React.js, Next.js, Node.js, and TypeScript Integrate AI models (OpenAI, Claude) and work on AI chat interfaces Use prompt engineering techniques to improve AI responses and user experiences Leverage AI-native tools like Cursor, Replit, Copilot, and Tannine to write and review clean, maintainable code Work with LangChain, AutoGen, or Manus frameworks for advanced AI workflows Collaborate with cross-functional teams including designers, backend developers, and AI engineers Actively participate in sprint planning and discussions with business stakeholders Optimize performance and scalability using best practices and modern DevOps tools Ship features quickly using platforms like Vercel, Supabase, Railway, and n8n Required Skills:- 5 years of hands-on experience in full stack development Strong proficiency in JavaScript, React, Next.js, Node.js, TypeScript Experience with AI APIs such as OpenAI and Claude Practical knowledge of prompt engineering and vector search concepts Familiarity with modern IDEs and AI coding assistants (GitHub Copilot, Tabnine, etc.) Experience working with PostgreSQL and deployment tools like Vercel and Railway Excellent problem-solving and communication skills Leadership qualities and the ability to mentor junior developers Tech Stack You’ll Use: Frontend: React, Next.js Backend: Node.js, Express Database: PostgreSQL (hosted or via Supabase) AI Tools: OpenAI, Claude, LangChain, AutoGen, Manus Dev Tools: GitHub, Cursor, Replit, GitHub Copilot, Tabnine Automation & DevOps: n8n, Railway, Vercel Why Join Us? Be at the forefront of real-world AI innovation Work on cutting-edge AI + web technology Join a talented, collaborative, and forward-thinking team Show more Show less

We are looking for a passionate and experienced Full Stack Developer to join our core product development team. This role is perfect for someone who has independently built or led full-stack projects and has the leadership potential to guide other developers. If you're excited about AI tools like ChatGPT , Claude , GitHub Copilot , and Tabnine , and want to build smart, scalable web applications, this is the opportunity for you. Responsibilities:- Build and maintain full-stack web applications using React.js , Next.js , Node.js , and TypeScript Integrate AI models (OpenAI, Claude) and work on AI chat interfaces Use prompt engineering techniques to improve AI responses and user experiences Leverage AI-native tools like Cursor , Replit , Copilot , and Tannine to write and review clean, maintainable code Work with LangChain , AutoGen , or Manus frameworks for advanced AI workflows Collaborate with cross-functional teams, including designers, backend developers, and AI engineers Actively participate in sprint planning and discussions with business stakeholders Optimize performance and scalability using best practices and modern DevOps tools Ship features quickly using platforms like Vercel , Supabase , Railway , and n8n Required Skills:- 5-6 years of hands-on experience in full-stack development Strong proficiency in JavaScript , React , Next.js , Node.js , TypeScript Experience with AI APIs such as OpenAI and Claude Practical knowledge of prompt engineering and vector search concepts Familiarity with modern IDEs and AI coding assistants ( GitHub Copilot , Tabnine , etc.) Experience working with PostgreSQL and deployment tools like Vercel and Railway Excellent problem-solving and communication skills Leadership qualities and the ability to mentor junior developers Tech Stack You’ll Use: Frontend: React, Next.js Backend: Node.js, Express Database: PostgreSQL (hosted or via Supabase) AI Tools: OpenAI, Claude, LangChain, AutoGen, Manus Dev Tools: GitHub, Cursor, Replit, GitHub Copilot, Tabnine Automation & DevOps: n8n, Railway, Vercel Why Join Us? Be at the forefront of real-world AI innovation Work on cutting-edge AI + web technology Join a talented, collaborative, and forward-thinking team Show more Show less

Dear Candidates Are you looking for opportunities ? If yes, read below to know more about an opportunity in Redserv (Redington Group), one of the leading Supply Chain Management organizations! Role hiring for: Artificial Intelligence Work Location : Guindy Experience : 2-4 Years Hands on experience in Python and AI/ML is must Mode : Work from office Notice : Immediate - 30 days Roles & Responsibilities: Develop and implement machine learning algorithms and models using Python. Design and develop Python-based applications. Build, maintain, and optimize scalable and efficient AI/ML systems that meet performance and accuracy standards. Collaborate with data scientists and domain experts to understand business needs and deliver AI/ML solutions addressing real-world challenges. Perform data preprocessing, feature engineering, and data transformation to prepare datasets for model training. Utilize deep learning frameworks like TensorFlow for model development and deployment. Stay updated with the latest AI/ML advancements and incorporate them into company projects. Fine-tune and optimize AI/ML models for enhanced performance and efficiency. Work closely with cross-functional teams to integrate AI/ML solutions into existing applications and systems. Conduct code reviews, ensure high code quality, and adhere to best coding practices. Debug and resolve issues in AI/ML systems promptly. Use DevOps practices to deploy and monitor AI/ML solutions in production environments. Location of the Interview No.5, RR Towers, 6th Floor, Plot No 33A, Thiru Vi Ka Industrial Estate, Guindy Chennai, Tamil Nadu 600032 (Next to Olympia Platina building) Date & Time: 10th June 2025 | 11.00 AM - 1 PM Documents to Carry for the Interview - Current updated Resume - Please carry your last 3 months pay slips Regards Team HR

AI Fullstack Engineer Experience: 4 - 9 Years Exp Salary : Competitive Preferred Notice Period : Within 30 Days Opportunity Type: Remote Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Python, Angular, AWS HurixDigital (One of Uplers' Clients) is Looking for: AI Fullstack Engineer 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. Job Description Key Responsibilities Develop and deploy end-to-end AI-powered applications leveraging full-stack development best practices. Architect and integrate AI/ML models and pipelines using tools like LangChain, Hugging Face, OpenAI, and Anthropic Claude APIs. Design and implement microservices, RESTful APIs, and backend systems with scalability and maintainability in mind. Leverage cloud platforms (AWS, Azure, GCP) for hosting, automation, and scaling services. Integrate CI/CD pipelines to ensure smooth and frequent deployment cycles. Collaborate with cross-functional teams to translate business requirements into technical solutions. Apply techniques such as content chunking, vector search, embedding models, and retrievers to build advanced AI retrieval systems. Ensure robust architecture that can withstand variable load conditions, focusing on fault tolerance and high availability. Maintain documentation and adhere to best practices in software development and AI model integration. Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of hands-on experience in AI engineering and full-stack development. Strong proficiency with AI/ML tools including LangChain, Hugging Face, OpenAI, and Claude APIs. Deep understanding of vector databases, retrievers, and modern NLP workflows. Proficient in one or more full-stack frameworks (e.g., Node.js, Django, React, Angular). Experience with cloud platforms (AWS, Azure, GCP) and infrastructure automation tools (e.g., Terraform, CloudFormation). Solid experience with CI/CD pipelines, GitOps, and container orchestration (e.g., Docker, Kubernetes). Proven ability to architect resilient systems and optimize performance under fluctuating workloads. Preferred Skills Knowledge of prompt engineering and LLM fine-tuning techniques. Familiarity with DevSecOps practices and AI compliance requirements. Exposure to multimodal models and real-time inference systems. 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 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! Show more Show less

Job Description Why Gainsight? We are ranked #1 on Glassdoor’s 2023 Best Place to Work List. Here’s why. At Gainsight, our mission is to be living proof you can win in business while being human-first. Our industry-leading platform helps companies of all sizes and industries build durable businesses. Gainsight offers a powerful set of customer success, product, and community engagement solutions that enable businesses to scale efficiently, create alignment, and have a holistic view of their customers—all of which help increase product adoption, prevent churn, and grow renewals and expansions. Our software is used by hundreds of companies, including nearly 200 publicly traded organizations and industry leaders such as GE Digital, SAP Concur, and Box. We have offices in the US, UK, Netherlands, Israel, Japan, and India. Gainsight joined the Vista Equity Partners portfolio in 2020. In 2021, we won their Excellence in Engineering award in recognition of our product and engineering advancements. Gainsight has also been named one of the top 100 private cloud companies in the world by Forbes, one of the fastest-growing private companies in America by Inc. Magazine, and one of 20 Great Workplaces in Tech by Fortune Magazine. With diversity and inclusion at the forefront of our values, we promote a culture that celebrates diversity and inclusiveness regardless of, but not limited to, race, gender, sexual orientation, family status, religion, ethnicity, national origin, physical disability, veteran status, or age. Job Summary Applied AI Engineer (Agentic Workflows, Model Routing) As an Applied AI Engineer specializing in Agentic Workflows and Model Routing, you will focus on orchestrating complex, multi-model AI systems that enable intelligent decision-making. Your work goes beyond selecting the right models—you will design and build adaptive AI agents that dynamically route tasks between different LLMs, APIs, and external data sources. This role requires deep expertise in agentic behavior design, multi-model coordination, and workflow optimization, ensuring that AI-driven agents can autonomously reason, select models, and handle complex decision trees. What You Will Do Evaluate and integrate orchestration frameworks (e.g., LangChain, LlamaIndex) to optimize model routing logic. Configure AI agents to intelligently select the best model for each query, leveraging GPT-4 for complex reasoning, Llama 2 for rapid responses, and Claude for nuanced understanding. Develop fallback and escalation mechanisms, ensuring tasks are reassigned to the appropriate model if an initial response lacks confidence or accuracy. Fine-tune multi-step agentic workflows that incorporate external APIs, retrieval-augmented data (RAG), and reflection prompts to ensure high-quality outputs. Monitor performance metrics and AI decision policies, continuously refining workflows based on real-world feedback and LLM evaluation metrics. Design AI-driven handoff strategies for seamless agent communication, error recovery, and reasoning enhancements. Implement dashboards and evaluation criteria to measure how agentic workflows evolve over time. Collaborate with AI researchers, engineers, and product teams to enhance autonomous agent capabilities in a real-world production environment. Who You Are: (Experience & Qualifications): 5–8+ years of experience in AI, Machine Learning, NLP, or AI Systems Engineering. 2–3+ years of hands-on experience building AI agents, designing model routing architectures, or working with multi-model AI orchestration. Expertise in agentic frameworks such as LangChain, LlamaIndex, CrewAI, or OpenAI function calling. Deep knowledge of LLM architectures (GPT-4, Claude, Llama 2, Mistral) and experience orchestrating multi-model decision workflows. Strong understanding of retrieval-augmented generation (RAG) and how to integrate vector databases into AI workflows. Experience designing self-assessment and reflection prompts that improve agent reasoning accuracy. Proficiency in Python, OpenAI SDK, Hugging Face, and cloud-based AI deployments. Strong grasp of LLM safety mechanisms, fallback strategies, and ethical AI development. Experience implementing evaluation dashboards and tracking model performance using AI metrics (win-rate comparisons, perplexity, response confidence). Bonus Skills (Nice to Have) Experience fine-tuning open-source LLMs for domain-specific use cases. Strong grasp of automated agent handoffs and escalation pathways. Familiarity with multi-agent AI research, including self-improving agent architectures. Knowledge of LLM caching, latency optimization, and efficient model-switching technique Why You’ll Love It Here Your job shouldn’t stand in the way of your happiness—it should be a path to achieve it. At Gainsight, we’re passionate about achieving our goals—at the office and everywhere—and we work every day to create an environment that nurtures our best selves. Gainsters love working here for several reasons. Here are a few: Our Core Values: We are guided by our values on our mission to be living proof you can win in business while being human-first. Learn more here. Our CEO: With a 99% approval rating on Glassdoor, Nick Mehta is one of the most beloved CEOs in Silicon Valley. Our Growth Opportunities: From mentoring to career development opportunities, we’re passionate about helping our Gainsters learn, grow and thrive. Our Teammate Resource Groups: A huge source of pride for Gainsight, these groups are on a mission to put our values into action and make Gainsight a great place to work for all. Our Wellness Priorities: Quarterly Recharge Days that re-energize us. Our Parody Videos: No explanation needed. Just watch them here! Job Description Summary By joining the Gainsight team, you’ll have a unique opportunity to make your mark at a truly human-first company and have loads of fun doing it. Come join us! Show more Show less

Overview: We are seeking a highly versatile Solution Architect to lead the design of innovative, scalable solutions across both traditional software and AI-powered platforms. The ideal candidate will be adept at understanding business problems, architecting technical solutions from the ground up, and estimating the cost and time to build those solutions. Key Responsibilities: Translate complex business problems into technical architecture and implementation plans Design end-to-end solutions involving software components, cloud infrastructure, data flows, and AI/ML models where relevant Identify trade-offs between build vs. buy, scalability, and time-to-market Analyze existing systems/platforms and estimate the cost, timeline, and resources required to rebuild or modernize them Work with cross-functional teams to develop detailed project plans and technical documentation Build quick proof-of-concepts or minimum viable products (MVPs) to test assumptions Run feasibility checks for AI/ML-based ideas using tools like OpenAI, Hugging Face, LangChain, or custom models Evaluate and benchmark third-party APIs, platforms, or tools for integration Stay updated on the latest in cloud platforms (AWS/GCP/Azure), software frameworks, and AI/ML technologies Act as a technical advisor to product and business teams, guiding them on the feasibility and implications of ideas Work closely with product managers, data scientists, engineers, and business stakeholders to align requirements and technical direction Support engineering and product teams during build, helping resolve architectural or design issues Prerequisites: Proven track record of designing and delivering scalable software solutions end-to-end Strong experience with cloud architecture (AWS/GCP/Azure), microservices, APIs, and full -stack development Exposure to AI/ML technologies — ideally including generative AI, NLP, or automation tools Hands-on ability to prototype solutions using Python, Node.js, or similar frameworks Deep understanding of system design principles, cost/performance optimization, and technical trade-offs Strong analytical and estimation skills — ability to break down a platform and assess rebuild timelines and cost Exceptional communication and storytelling ability — can clearly articulate tech ideas to non-tech stakeholder Preferred Qualifications: Bachelor’s degree in technology (B.Tech) or Master of Computer Applications (MCA) is required; MBA or MS preferred 7+ years of experience in software engineering, solution architecture, or technology consulting roles Experience working with LLMs, AI APIs (OpenAI, Claude, etc.), and orchestration tools like LangChain Prior experience in startups, innovation labs, or consulting firms a plus Exposure to DevOps, CI/CD, and infrastructure-as-code (e.g., Terraform) preferred Experience with vendor evaluations and RFP processes is a bonus Compensation: The compensation structure will be discussed during the interview Show more Show less

Location: Remote Job Type: Full-Time Job Overview Build and evolve an AI-native development experience , integrating tools like Copilot and Cursor. Design, prototype, and implement Vive-like AI collaboration features for developers. Work on intelligent assistants/agents that can collaborate on tasks, write code, and debug with you. Collaborate with researchers, product, and dev teams to shape how humans and AI build software together. Optimize for DX (Developer Experience) at every level: interface, latency, workflows. 🛠 Tech Stack & Tools We Love: Angular ionic, Node.js, TypeScript, React, TailwindCSS LLMs (OpenAI, Anthropic, etc.), LangChain, DeepEval GitHub Copilot, Cursor, VS Code Extensions PostgreSQL, Redis, WebSockets Experience or interest in agentic frameworks / Multi-Agent Collaboration Protocols (MCP) is a bonus. Angular Ionic + Angular AI editor (cursor) Love and quest are mandatory ✅ You Might Be a Fit If You: Are AI-native in your thinking — you view AI as your pair programmer, not just a tool. Have used or tinkered with Cursor, Copilot, Cody, or similar AI developer tools . Believe the IDE should be smarter, context-aware, and always assisting. Have experience building real-time, collaborative, or autonomous tools for de Thrive in fast-moving environments and enjoy building from scratch. Seniority Level Entry level Industry E-Learning Providers Employment Type Full-time Job Functions Information Technology Administrative Analyst Skills Microsoft Visual Studio Code GitHub Node.js Show more Show less

Looking for a highly versatile AI engineer who can manage data ingestion, tagging, and build an LLM-powered knowledge system end-to-end. Job Role- AI automation engineer Job Type- Part-time Work mode- Remote Responsibilities: Build a secure, centralized “data room” from files (emails, docs, drive folders, etc.) Clean, tag, and index documents using embeddings + vector database (e.g., Chroma) Implement a simple ChatGPT-style Q&A interface over the data Handle basic transcription + summarization for select video/audio Ensure compatibility across desktop, tablet, and mobile Prioritize privacy and human-in-the-loop validation Ideal Skills: LangChain or LlamaIndex, OpenAI/Gemini embeddings FastAPI or Node.js backend experience Dropbox / Google Drive API integrations Email + document parsing, metadata extraction Bonus: Streamlit or lightweight UI prototyping . Show more Show less

Job Title: AI Engineer Location: Remote Employment Type: Full-time About the Role: We are seeking a skilled and motivated AI Engineer to help us build intelligent, agentic systems that drive real-world impact. In this role, you will develop, deploy, and maintain AI models and pipelines - working with large language models (LLMs), vector databases, and orchestration frameworks like Langchain. You will collaborate across teams to build robust, scalable AI-driven solutions. Key Responsibilities- Design and develop intelligent systems using LLMs, retrieval-augmented generation (RAG), and agentic frameworks. Build and deploy AI pipelines using Langchain, vector stores, and custom tools.- Integrate models with production APIs and backend systems. Monitor, fine-tune, and improve performance of deployed AI systems.- Collaborate with data engineers, product managers, and UX designers to deliver AI-first user experiences. Stay up to date with advancements in generative AI, LLMs, and orchestration frameworks. Required Qualifications 2-5 years of experience in building and deploying machine learning or AI-based systems. Hands-on experience with Langchain in building agent workflows or RAG pipelines. Proficiency in Python and frameworks such as PyTorch, TensorFlow, or Scikit-learn. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes). Strong understanding of prompt engineering, embeddings, and vector database operations (e.g., FAISS, Pinecone, Weaviate). Familiarity with MLOps tools such as MLflow, SageMaker, or Vertex AI. Preferred Qualifications Experience with large language models (e.g., GPT, Claude, LLaMA) and GenAI platforms (e.g., OpenAI, Bedrock, Anthropic). Background in NLP, RAG architectures, or autonomous agents. Experience in deploying AI applications via APIs and microservices. Contributions to open-source Langchain or GenAI ecosystems. Why Join Us? Remote-first company working on frontier AI systems. Opportunity to shape production-grade AI experiences used globally. Dynamic, collaborative, and intellectually curious team. Competitive compensation with fast growth pot Show more Show less

About Us: Our mission at micro1 is to match the most talented people in the world with their dream jobs. If you are looking to be at the forefront of AI innovation and work with some of the fastest growing companies in Silicon Valley, we invite you to apply for a role. By joining the micro1 community, your resume will become visible to top industry leaders, unlocking access to the best career opportunities on the market. Job Summary: We are seeking an innovative and highly skilled AI Engineer to join our customer’s team. In this dynamic role, you will design and deploy advanced Generative AI and LLM solutions, driving impactful real-world applications. Your expertise will directly shape our customer’s AI products, working in a collaborative, forward-thinking environment. Key Responsibilities: Develop, fine-tune, and deploy Large Language Models (LLMs) and Generative AI applications for production environments. Engineer robust RAG (Retrieval Augmented Generation) pipelines utilizing vector stores such as FAISS, Pinecone, or Weaviate. Implement and optimize prompt engineering strategies for enhanced performance of commercial and open-source LLMs (OpenAI, Anthropic, Hugging Face, etc.). Integrate NLP techniques and transformer architectures to boost customer’s product capabilities. Collaborate cross-functionally to define AI-driven product features and recommend technical enhancements. Write clean, efficient Python code while adhering to best practices in code quality and documentation. Communicate technical concepts effectively in both written and verbal forms with stakeholders and team members. Required Skills and Qualifications: Strong programming proficiency in Python for AI/ML projects. Hands-on experience with LLM frameworks such as LangChain or Haystack. Proficient in designing and deploying RAG pipelines, including leveraging vector database technologies (e.g., Redis, FAISS, Pinecone, Weaviate). Deep understanding of NLP fundamentals and transformer models. Demonstrated experience with both commercial and open-source LLMs. Expertise in prompt engineering and embeddings. Exceptional written and verbal communication abilities, with an emphasis on clarity and collaboration. Preferred Qualifications: Experience deploying GenAI applications at scale in production environments. Background in designing customer-facing AI solutions. Prior experience collaborating in hybrid or distributed teams. Show more Show less

Job Title: Machine Learning Engineer Job Type: Full-time, Contractor Job Summary: We are seeking an innovative and highly skilled Machine Learning Engineer to join our customer’s team. In this dynamic role, you will design and deploy advanced Generative AI and LLM solutions, driving impactful real-world applications. Your expertise will directly shape our customer’s AI products, working in a collaborative, forward-thinking environment. Key Responsibilities: Develop, fine-tune, and deploy Large Language Models (LLMs) and Generative AI applications for production environments. Engineer robust RAG (Retrieval Augmented Generation) pipelines utilizing vector stores such as FAISS, Pinecone, or Weaviate. Implement and optimize prompt engineering strategies for enhanced performance of commercial and open-source LLMs (OpenAI, Anthropic, Hugging Face, etc.). Integrate NLP techniques and transformer architectures to boost customer’s product capabilities. Collaborate cross-functionally to define AI-driven product features and recommend technical enhancements. Write clean, efficient Python code while adhering to best practices in code quality and documentation. Communicate technical concepts effectively in both written and verbal forms with stakeholders and team members. Required Skills and Qualifications: Strong programming proficiency in Python for AI/ML projects. Hands-on experience with LLM frameworks such as LangChain or Haystack. Proficient in designing and deploying RAG pipelines, including leveraging vector database technologies (e.g., Redis, FAISS, Pinecone, Weaviate). Deep understanding of NLP fundamentals and transformer models. Demonstrated experience with both commercial and open-source LLMs. Expertise in prompt engineering and embeddings. Exceptional written and verbal communication abilities, with an emphasis on clarity and collaboration. Preferred Qualifications: Experience deploying GenAI applications at scale in production environments. Background in designing customer-facing AI solutions. Prior experience collaborating in hybrid or distributed teams. Show more Show less

Job Title: Full Stack Developer – AI Integration & Prompt Engineering Employment type: Full Time About the Role: We’re looking for a talented Full Stack Developer with strong JavaScript skills and hands-on experience integrating AI models like ChatGPT into web applications. If you’re passionate about AI, prompt engineering , and building intelligent, responsive web apps, this is the perfect opportunity. Key Responsibilities Build and maintain web applications using JavaScript frameworks (React.js, Node.js, Vue.js). Integrate AI/ML models and APIs (e.g., OpenAI) into scalable web applications. Design, test, and refine effective prompts to drive accurate and meaningful AI responses. Create smooth and responsive AI-driven user experiences , including chat interfaces. Optimize application performance, ensuring high responsiveness and scalability. Experiment with different prompting strategies to improve AI performance and user interaction. Collaborate closely with AI engineers, UI/UX designers, and backend developers to deliver cohesive features. Stay updated on the latest trends in AI/ML, NLP, and JavaScript frameworks . What We’re Looking For Strong experience with JavaScript, React, Redux, and TypeScript Proven ability to integrate AI APIs (e.g., OpenAI, GPT models) Hands-on experience in prompt engineering and AI model tuning Good understanding of Vector Search and AI application workflows Excellent English communication skills , both verbal and written Familiarity with frontend and backend web development best practices Why Join Us? Be at the forefront of AI innovation in real-world applications Work on exciting projects that merge web technology and artificial intelligence Collaborate with a passionate, forward-thinking team Job Type: Full-time Pay: ₹600,000.00 - ₹800,000.00 per year Ability to commute/relocate: Peelamedu, Coimbatore, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Experience: AI: 1 year (Preferred) Work Location: In person

Job Title: Conversational AI Engineer / NLP & LLM Integration Specialist Experience Required: 2–4 years About the Role We are seeking a highly motivated Conversational AI Engineer to join our team in building intelligent, AI-powered dialogue systems, chatbots, and document-based Q&A tools. This role requires a deep understanding of NLP, LLM (Large Language Model) integration, and the ability to build AI pipelines that convert unstructured data into meaningful responses. The ideal candidate should have strong experience with Python, ML libraries, and API-driven architectures. This is a hands-on, research-to-deployment role . You will play a key part in shaping the product’s intelligence and language capabilities — from designing conversation flows to building semantic search systems and custom logic engines. Key Responsibilities Design and implement AI-driven chatbots and Q&A systems using NLP and LLMs. Perform prompt engineering for LLMs like OpenAI, Claude, or open-source models. Handle Excel/CSV/JSON data parsing to structure domain-specific knowledge bases. Build and integrate information retrieval and semantic search features. Apply intent classification , category detection , and dialogue management techniques. Deploy and optimize backend services that serve AI responses through APIs. Collaborate closely with designers and product teams to build domain-aware, user-friendly conversations . (Optional) Integrate or build astrology-based models or rule-based prediction engines . Required Skills Strong experience in Natural Language Processing (NLP) . Familiarity with LLM integration , prompt engineering , and RAG architectures . Practical knowledge of Machine Learning / Deep Learning . Strong programming skills in Python . Experience working with structured and unstructured data (CSV, JSON, Excel). Familiarity with Conversational AI tools (e.g., Rasa, Dialogflow, or custom-built systems). Understanding of information retrieval, semantic search , and vector embeddings . Ability to write clean, production-ready code and deploy services using Flask/FastAPI . Solid understanding of user intent classification and conversational flow design. Preferred Qualifications Experience building chatbots , virtual assistants, or AI-driven user interfaces. Prior exposure to astrology or rule-based prediction engines (a plus but not required). Familiarity with knowledge graphs or domain-specific ontologies. Hands-on experience with vector stores (e.g., Pinecone , FAISS , Weaviate ) and embedding techniques. Ability to work independently and communicate ideas clearly and effectively. Job Type: Full-time Pay: ₹15,000.00 - ₹40,000.00 per month Benefits: Paid sick time Schedule: Day shift Experience: AI: 1 year (Preferred) Location: Mohali, Punjab (Preferred) Work Location: In person

Company Description Discvr.ai (www.discvr.ai) is India's first AI search engine, emerging from stealth and recently launching our public beta! We're tackling information overload by building an intelligent search and research platform designed to deliver deep, reliable insights faster than traditional methods. Our platform features efficient web search, specialized deep research (like US equity analysis), AI report generation on any topic, and unique interactive AI articles. We're a fast-paced, early-stage startup based in Gurgaon, building cutting-edge technology with a global vision. Role Description We are seeking a AI Fullstack Engineer to join our core team. You will play a crucial role in designing, developing, and deploying key features across our entire platform, with a strong emphasis on integrating and leveraging AI capabilities. This is a unique opportunity to work at the intersection of AI, search technology, and user experience in a dynamic startup environment. CTC INR 6L/Annum Responsibilities Design, build, and maintain responsive and performant user interfaces using React/Next.js and UI frameworks like Shadcn UI. Develop robust backend services and APIs using Python. Integrate and manage various data stores including MongoDB, Redis, Neo4j (Graph DB), and Qdrant (Vector DB). Work closely with AI models: integrate third-party APIs, understand model usage patterns, and potentially assist in fine-tuning processes where required. Collaborate with the founder and potential future team members to define features and iterate quickly. Ensure the scalability, reliability, and security of the platform. Contribute to all phases of the software development lifecycle. Qualifications Experience: 3-6 years of professional experience in a fullstack development role. Frontend: Strong proficiency in JavaScript/TypeScript, React, and Next.js. Experience with state management and component libraries. Backend: Solid experience with Python and building RESTful APIs. Databases: Hands-on experience working with NoSQL databases (like MongoDB), caching systems (like Redis), and ideally exposure to vector databases (like Qdrant) and graph databases (like Neo4j). AI/ML Interest: Demonstrable understanding of AI/ML concepts, experience integrating AI APIs (e.g., Bedrock,OpenAI, Hugging Face), and a strong desire to work deeply with AI technologies. Fundamentals: Strong grasp of computer science fundamentals (data structures, algorithms). Problem Solver: Excellent analytical and problem-solving skills. Team Player: Good communication skills and ability to work effectively in a small team. Bonus Points (Preferred Qualifications): Prior hands-on experience specifically developing AI-powered applications or features. Experience with model fine-tuning concepts or tools. Familiarity with cloud platforms (AWS, GCP, Azure). Experience with UI libraries like Shadcn UI. Experience working in a fast-paced startup environment. Role Details & Culture: This is a demanding but rewarding role in an early-stage startup. We currently operate on a 6-day work week schedule, reflecting the fast pace required at this stage. Opportunity to work directly on core product features and have a significant impact. Work with cutting-edge AI technology and a modern tech stack. Learn and grow rapidly in a dynamic environment. Location: Based out of Gurgaon, India. Hybrid work or fully remote arrangements are possible for the right candidate. Equal Opportunity: Discvr.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Show more Show less

Why Patients Need You The Revenue Management (RM) Digital Solutions team manages technology strategy and delivery for the Pfizer’s Commercial Business Units, the Global Access and Value (GAV) organization and Pfizer Commercial Finance teams. The team plays a critical role in ensuring Patients can easily access Pfizer’s breakthrough medicines through contracting opportunities with Payer and Providers. What You Will Achieve This role will be responsible to configure, maintain and enhance strategic technology platforms and related reporting dashboards that support market access pre-deal analytics, post-deal analytics and broader performance reporting. These web-based tools are used by Market Access Strategy, Pricing and Analytics (MASPA) teams that are responsible for payer and provider contract analytics. The candidate will be accountable for finding the most effective ways for technology to support Pfizer’s business objectives in these domains and optimize the return on all technology investments. The ideal candidate would be someone with strong technical skill on Data management tools, Data Architecture, data profiling/quality tools, AWS services, Tableau, Snowflake, Informatica Cloud Services, Dataiku AI/ML tools. This role will work closely with functional and technical leads and become a subject matter expert with solutions to identify, develop, and deploy processes and reporting. The role will lead Deal Analytics data integration, create analytic solutions, and utilize data prep and visualization platforms. How You Will Achieve It Evaluates and implements solutions to meet business requirements, ensuring consistent usage and adherence to data management best practices. Collaborates with product owners to prioritize features and manage technical requirements based on business needs, new technologies, and known issues. Develops application design and documentation for leadership teams. Assists in defining the vision for the shared data model, including sourcing, transformation, and loading approaches. Manages daily operations of the team, ensuring on-time delivery of milestones. Accountable for end-to-end delivery of program outcomes within budget, aligning with relevant business units. Fosters collaboration with internal and external stakeholders, including software vendors and data providers. Works independently with minimal supervision, capable of making recommendations. You will have the opportunity to: Demonstrate a solid ability to tell a story with simplistic views of complex datasets. Deliver data reliability, efficiency, and best-in-class data governance, ensuring security and compliance. Will be an integral part of developing best-in-class solution for the GAV organization. Build dashboard and reporting proofs of concept as needed; develop reporting and analysis templates and tools. Work in close collaboration with business teams throughout MASPA (Market Access Strategy Pricing and Analytics) to determine tool functionality/configuration and data requirements to ensure that the analytic capability is supporting the most current business needs. Partner with the Digital Client Partners to align on priorities, processes and governance and ensure experimentation to activate innovation and pipeline value. Qualifications Must-Have Bachelor’s degree in computer science, Software Engineering, or engineering related area. 5+ years of relevant experience emphasizing data modeling, development, or systems engineering. 1+ years with a data visualization tool (e.g. Tableau, Power BI). 2+ Years of experience in any number of the following tools, languages, and databases: (e.g. MySQL, SQL, Aurora DB, Redshift, Snowflake). Demonstrated capabilities in integrating and analyzing heterogeneous datasets; Ability to identify trends, identify outliers and find patterns. Demonstrated expertise and capabilities in matrixed, cross-functional teams and influencing without authority. Proven experience and demonstrated skills with AWS services, Tableau, Airflow,Python and Dataiku. Must be experienced in DevSecOps tools JIRA, GitHub. Experience in Database design tools. Deep knowledge of Agile methodologies and SDLC processes. Excellent written, interpersonal, and oral communication skills, communicate and liaise broadly across functions and the global organization. Strong analytical, critical thinking, and troubleshooting skills. Ambition to learn and utilize emerging technologies while working in a stimulating team environment. Nice-to-Have Advanced degree in Computer Engineering, Computer Science, Information Systems or related discipline. Knowledge with GenAI and LLMs framework (OpenAI, AWS). US Market Access functional knowledge and data literacy. Statistical analysis to understand and improve possible limitations in models. Experience in AI/ML frameworks. Pytest and CI/CD tools. Experience in UI/UX design. Experience in solution architecture & product engineering. Organizational Relationships Global Access and Value Organization Market Access Strategy, Pricing and Analytics Channel Management, Contract Operations Trade Operations Government Pricing Managed Markets Finance Vaccines Business Unit Leadership Commercial Leaders for newly launched brands AIDA Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. Information & Business Tech Show more Show less

About GradRight GradRight is the world’s first SaaS ecosystem that brings together students, universities and financial institutions on one platform. It enables students to find and fund high return college education, universities to engage and select the best-fit students and banks to lend in an effective and efficient manner. Our vision is to be the world’s leading Ed-Fin Tech company dedicated to making higher education accessible and affordable to all. We have enabled 250,000+ students to get the best deals on $ 4+ Billion of loan requests and facilitated disbursements of more than $ 450+ Million in loans. We enable 50+ universities across US, Europe, Canada to develop their brand in India, attract the right students to apply and enroll for their Graduate programs. It has commenced a new business line of marketing, enrolling and managing the Online Programs for its university partners. Founded in 2019, GradRight has offices across Hyderabad, Gurgaon, Bangalore, Delhi and Washington DC . GradRight’s team possesses extensive domestic and international experience in the launch and scale-up of premier higher education institutions like Ashoka, Krea and Plaksha University. It is led by alumni of IIT Delhi, ISB Hyderabad and BITS Pilani and University of Pennsylvania. GradRight is also the winner of the HSBC Fintech Innovation Challenge supported by the Ministry of Electronics & IT, Government of India. At GradRight, we are transforming how students explore and access higher education abroad using technology and data. We're building smart, AI-powered tools that help match students to the best-fit universities and financial options. Join us to shape the future of student decision-making. Role Overview We're looking for an AI Developer who can design, build, and optimize intelligent systems like voicebots / chatbots, and recommend agents using state-of-the-art AI models and APIs. You should be comfortable working with foundation models (OpenAI, Gemma 3.0, DeepSeek R1, etc.), embeddings, vector databases, and building end-to-end AI applications that serve real users. Key Responsibilities Design and implement AI-powered systems using APIs such as OpenAI (GPT-4), Gemma 3.0, Claude, DeepSeek R1, etc. Build and fine-tune bots (chat, voice, or hybrid) that can understand and respond intelligently in natural language. Use vector databases (e.g., Pinecone, Weaviate, Qdrant, ChromaDB) to implement RAG (Retrieval-Augmented Generation) pipelines. Generate and use embeddings to enhance semantic search, personalization, or recommendation engines.Integrate AI modules into backend systems (Python/NodeJS preferred), web apps, or mobile apps. Optimize model calls and prompt engineering for cost, latency, and performance.Continuously evaluate emerging AI models and tools to keep our stack cutting-edge. Work closely with product and data teams to ship AI features with real impact. Required Skills & Experience Solid experience building AI-powered applications or bots using OpenAI / Claude / Gemini / DeepSeek or open-source LLMs. Proficiency with embeddings and semantic search use cases.Hands-on experience with vector databases like Pinecone, Weaviate, or Qdrant.Familiarity with LLMOps concepts and prompt engineering. Strong coding background in NodeJS (preferred) or Python.Comfortable working with REST APIs and building end-to-end pipelines.Experience deploying and monitoring AI systems in production. Nice-to-Have Experience with LangChain/LlamaIndex/Haystack.Prior work with open-source models (Gemma, Mistral, Ollama, etc.). Exposure to CI/CD, Docker, and cloud platform (AWS). Show more Show less

Since launching in 2021, Bigtoe has been on a mission to revolutionize the wellness industry by making high-quality massage and yoga services more accessible than ever. We serve individuals, hotels, events, and companies with a tech-driven experience that empowers wellness professionals to focus on what they do best — delivering healing. We’ve grown our provider network to over 8,000 licensed professionals, and in the past year alone, quadrupled our revenue. With operations spanning over 25 cities, we’re now building intelligent systems to enhance our support, optimize operations, and improve client experience. Description We’re looking for a part-time AI Consultant to lead the development and implementation of AI-powered solutions — starting with a support chatbot and evolving toward more advanced internal automation. This is a hands-on consulting role: you’ll not only guide architecture and tool choices, but also help us ship working systems. Responsibilities Lead the strategy, architecture, and MVP implementation of a chatbot for provider support Escalates appropriately to human support Support expansion into client-facing AI (e.g., booking assistant, availability nudging) Propose and help implement AI-driven internal tools NLP interfaces for ops and support staff Collaborate directly with the founder and product/engineering team Qualifications Proven experience with chatbot development (OpenAI, Anthropic, or open-source frameworks) Strong grasp of LangChain, RAG pipelines, vector embeddings, and prompt engineering Fluency in Python Ability to assess existing infrastructure and propose right-sized solutions Solid understanding of MySQL, REST APIs, and data workflows Excellent communication and consultative skills — we value initiative and clarity Show more Show less

Job Req ID: 47375 Location: Hyderabad, IN Function: Technology/ IOT/Cloud About: Role Overview: We are seeking a highly skilled and motivated Senior Data Scientist with deep expertise in Generative AI , Machine Learning , Deep Learning , and advanced Data Analytics . The ideal candidate will have hands-on experience in building, deploying, and maintaining end-to-end ML solutions at scale, preferably within the Telecom domain. You will be part of our AI & Data Science team, working on high-impact projects ranging from customer analytics, network intelligence, churn prediction, to generative AI applications in telco automation and customer experience. Key Responsibilities: Design, develop, and deploy advanced machine learning and deep learning models for Telco use cases such as: Network optimization Customer churn prediction Usage pattern modeling Fraud detection GenAI applications (e.g., personalized recommendations, customer service automation) Lead the design and implementation of Generative AI solutions (LLMs, transformers, text-to-text/image models) using tools like OpenAI, Hugging Face, LangChain, etc. Collaborate with cross-functional teams including network, marketing, IT, and business to define AI-driven solutions. Perform exploratory data analysis , feature engineering, model selection, and evaluation using real-world telecom datasets (structured and unstructured). Drive end-to-end ML solution deployment into production (CI/CD pipelines, model monitoring, scalability). Optimize model performance and latency in production, especially for real-time and edge applications. Evaluate and integrate new tools, platforms, and AI frameworks to advance Vi’s data science capabilities. Provide technical mentorship to junior data scientists and data engineers. Required Qualifications & Skills: 8+ years of industry experience in Machine Learning, Deep Learning, and Advanced Analytics. Strong hands-on experience with GenAI models and frameworks (e.g., GPT, BERT, Llama, LangChain, RAG pipelines). Proficiency in Python , and libraries such as scikit-learn, TensorFlow, PyTorch, Hugging Face Transformers , etc. Experience in end-to-end model lifecycle management , from data preprocessing to production deployment (MLOps). Familiarity with cloud platforms like AWS, GCP, or Azure; and ML deployment tools (Docker, Kubernetes, MLflow, FastAPI, etc.). Strong understanding of SQL , big data tools (Spark, Hive), and data pipelines. Excellent problem-solving skills with a strong analytical mindset and business acumen. Prior experience working on Telecom datasets or use cases is a strong plus. Preferred Skills: Experience with vector databases , embeddings , and retrieval-augmented generation (RAG) pipelines. Exposure to real-time ML inference and streaming data platforms (Kafka, Flink). Knowledge of network analytics , geo-spatial modeling , or customer behavior modeling in a Telco environment. Experience mentoring teams or leading small AI/ML projects.

Job Req ID: 47376 Location: Hyderabad, IN Function: Technology/ IOT/Cloud About: Role Overview: We are seeking a highly skilled and motivated Senior Data Scientist with deep expertise in Generative AI , Machine Learning , Deep Learning , and advanced Data Analytics . The ideal candidate will have hands-on experience in building, deploying, and maintaining end-to-end ML solutions at scale, preferably within the Telecom domain. You will be part of our AI & Data Science team, working on high-impact projects ranging from customer analytics, network intelligence, churn prediction, to generative AI applications in telco automation and customer experience. Key Responsibilities: Design, develop, and deploy advanced machine learning and deep learning models for Telco use cases such as: Network optimization Customer churn prediction Usage pattern modeling Fraud detection GenAI applications (e.g., personalized recommendations, customer service automation) Lead the design and implementation of Generative AI solutions (LLMs, transformers, text-to-text/image models) using tools like OpenAI, Hugging Face, LangChain, etc. Collaborate with cross-functional teams including network, marketing, IT, and business to define AI-driven solutions. Perform exploratory data analysis , feature engineering, model selection, and evaluation using real-world telecom datasets (structured and unstructured). Drive end-to-end ML solution deployment into production (CI/CD pipelines, model monitoring, scalability). Optimize model performance and latency in production, especially for real-time and edge applications. Evaluate and integrate new tools, platforms, and AI frameworks to advance Vi’s data science capabilities. Provide technical mentorship to junior data scientists and data engineers. Required Qualifications & Skills: 8+ years of industry experience in Machine Learning, Deep Learning, and Advanced Analytics. Strong hands-on experience with GenAI models and frameworks (e.g., GPT, BERT, Llama, LangChain, RAG pipelines). Proficiency in Python , and libraries such as scikit-learn, TensorFlow, PyTorch, Hugging Face Transformers , etc. Experience in end-to-end model lifecycle management , from data preprocessing to production deployment (MLOps). Familiarity with cloud platforms like AWS, GCP, or Azure; and ML deployment tools (Docker, Kubernetes, MLflow, FastAPI, etc.). Strong understanding of SQL , big data tools (Spark, Hive), and data pipelines. Excellent problem-solving skills with a strong analytical mindset and business acumen. Prior experience working on Telecom datasets or use cases is a strong plus. Preferred Skills: Experience with vector databases , embeddings , and retrieval-augmented generation (RAG) pipelines. Exposure to real-time ML inference and streaming data platforms (Kafka, Flink). Knowledge of network analytics , geo-spatial modeling , or customer behavior modeling in a Telco environment. Experience mentoring teams or leading small AI/ML projects.

Line of Service Advisory Industry/Sector Not Applicable Specialism Operations Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: Skill: Agentic Powered Automation (APA) Hands-on Experience With: Building and deploying autonomous agents LangChain framework for developing applications Retrieval Augmented Generation (RAG) systems Large Language Models (LLMs) and their APIs Solid understanding of safety principles and best practices Resolving Hallucinations in the outcomes Technical Skills Advanced Python programming with expertise in async programming and API development Experience with vector databases and embedding models Proficiency in implementing RAG pipelines and knowledge retrieval systems Familiarity with prompt engineering and LLM optimization techniques Experience with development frameworks and tools Knowledge of modern software development practices (Git, CI/CD, testing) Key Responsibilities Design and implement autonomous agents using LangChain / Crew.ai / SK / Autogen and other relevant frameworks Develop and optimize RAG systems for improved information retrieval and response generation Create robust evaluation frameworks for testing agent performance and safety Implement monitoring and logging systems for agent behavior Develop documentation and best practices for agent development Contribute to the improvement of agent architecture and capabilities Preferred Skills Experience with: Multiple LLM providers (OpenAI, Anthropic, etc.) Tools for agent orchestration and workflow management Natural Language Processing (NLP) techniques Container technologies (Docker, Kubernetes) Understanding of semantic search and information retrieval concepts Knowledge of agent alignment and safety considerations Mandatory skill sets: Agentic Powered Automation (APA) Preferred skill sets: Agentic Powered Automation (APA) Years of experience required: 5-7 Years Education qualification: BE, B.Tech, MCA, M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering Degrees/Field Of Study Preferred: Certifications (if blank, certifications not specified) Required Skills Automation Integration Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date Show more Show less

As a Field Sales Executive at OpenAI, you will lead enterprise customer engagements, guiding them from initial consideration to the successful deployment of AI solutions. This role involves collaborating with cross-functional teams to develop and execute complex customer programs, managing revenue forecasts, and contributing to product roadmaps based on industry Key Responsibilities Manage key enterprise accounts and develop comprehensive account strategies. Lead prospects through the sales journey, from initial contact to deployment. Collaborate with solutions and research engineering teams to tailor AI solutions to customer needs. Own and manage consumption revenue targets and forecasts. Analyze account metrics to provide insights to stakeholders. Monitor industry trends to inform product development and corporate strategies. Work closely with marketing, finance, and engineering departments to support company operations. Assist in recruiting and onboarding new team members.openai.com+9jobs.techsalesjobs.com+9jooble.org+9startup.jobs+2jooble.org+2jobs.techsalesjobs.com+2 Qualifications 7+ years of experience in selling platform-as-a-service (PaaS) or software-as-a-service (SaaS) solutions. Proven track record of achieving annual revenue targets exceeding $1 million. Experience in designing and executing complex deal strategies. Background in supporting the growth of high-performance companies. Direct experience working with C-level executives and communicating technical concepts effectively. Customer-centric mindset with a passion for understanding and addressing customer priorities. Interest in artificial intelligence and its applications in various industries. Strategic thinker with a deep understanding of go-to-market best . Preferred Attributes Strong leadership and team management skills. Ability to build and maintain relationships with key stakeholders. Excellent analytical and problem-solving abilities. Effective communication and presentation skills. Adaptability to work in a fast-paced and evolving environment. Job Type: Full-time Pay: ₹18,000.00 - ₹20,000.00 per month Schedule: Day shift Morning shift Supplemental Pay: Commission pay Performance bonus Experience: Sales & Marketing : 3 years (Required) Field sales executive: 3 years (Required) Sales Executive: 3 years (Required) Work Location: In person

Job Title - Sr Gen AI full stack Developer. Experience- 8+yrs Location - Remote Notice Period - Immediate to 15 days Primary Skills - Gen AI fullstack, Azure cloud, Python Roles and Responsibilities: Lead design, architecture, and development of scalable full-stack applications using Node.js and Python Drive end-to-end delivery of Gen AI features, including integrating OpenAI APIs, designing RAG pipelines, and applying prompt engineering Architect and implement chatbot platforms and conversational flows using third-party tools or custom frameworks Mentor and guide junior/mid-level developers through code reviews, pair programming, and technical discussions Collaborate with cross-functional teams (UX, AI/ML, product) to align technology with business goals Build robust APIs and data processing layers for backend systems, ensuring performance and reliability Contribute hands-on to UI development using HTML, CSS, JavaScript, and modern frameworks Enforce best practices in coding, testing, and agile delivery Manage technical risks, escalate issues early, and drive resolution in coordination with stakeholders Must-Have Skills: 8+ years of experience in full stack development with Node.js, Python, and web technologies Proven experience in building and scaling chatbots and Gen AI applications on Azure. Deep understanding of OpenAI APIs, prompt engineering, and LLM integration Hands-on experience designing or implementing Retrieval-Augmented Generation (RAG) systems Strong knowledge of REST APIs, SQL/NoSQL databases, and cloud-native development Solid experience with frontend frameworks (e.g., React, Vue.js) and UI best practices Excellent communication and leadership skills, with a collaborative mindset Nice-to-Have Skills: Experience with vector databases Familiarity with CI/CD pipelines, Git, and DevOps practices Prior experience leading distributed teams or working in a tech lead capacity

OPENTEXT OpenText is a global leader in information management, where innovation, creativity, and collaboration are the key components of our corporate culture. As a member of our team, you will have the opportunity to partner with the most highly regarded companies in the world, tackle complex issues, and contribute to projects that shape the future of digital transformation. Your Impact: We are seeking a skilled and experienced Software Engineer with expertise in Large Language Models (LLM), Java,Python, Kubernetes, Helm and cloud technologies like AWS. The ideal candidate will contribute to designing, developing, and maintaining scalable software solutions using microservices architecture. This role offers an exciting opportunity to work with cutting-edge technologies in a collaborative environment. What the role offers: Design, develop, troubleshoot and debug software programs for software enhancements and new products. Integrate Large Language Models (LLMs) into business applications to enhance functionality and user experience. Develop and maintain transformer-based models. Develop RESTful APIs and ensure seamless integration across services. Collaborate with cross-functional teams to gather requirements and translate them into technical solutions. Implement best practices for cloud-native development using AWS services like EC2, Lambda, SageMaker, S3 etc. Deploy, manage, and scale containerized applications using Kubernetes (K8S) and Helm. Designs enhancements, updates, and programming changes for portions and subsystems of application software, utilities, databases, and Internet-related tools. Analyses design and determines coding, programming, and integration activities required based on general objectives and knowledge of overall architecture of product or solution. Collaborates and communicates with management, internal, and outsourced development partners regarding software systems design status, project progress, and issue resolution. Represents the software systems engineering team for all phases of larger and more-complex development projects. Ensure system reliability, security, and performance through effective monitoring and troubleshooting. Write clean, efficient, and maintainable code following industry standards. Participate in code reviews, mentorship, and knowledge-sharing within the team. What you need to succeed: Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent. Typically, 3-5 years of experience Strong understanding of Large Language Models (LLM) and experience applying them in real-world applications. Expertise in Elastic Search or similar search and indexing technologies. Expertise in designing and implementing microservices architecture. Solid experience with AWS services like EC2, VPC, ECR, EKS, SageMaker etc. for cloud deployment and management. Proficiency in container orchestration tools such as Kubernetes (K8S) and packaging/deployment tools like Helm. Strong problem-solving skills and the ability to troubleshoot complex issues. Strong experience in Java and Python development, with proficiency in frameworks like Spring Boot or Java EE. Should have good hands-on experience in designing and writing modular object-oriented code. Good knowledge of REST APIs, Spring, Spring boot, Hibernate. Excellent analytical, troubleshooting and problem-solving skills. Ability to demonstrate effective teamwork both within the immediate team and across teams. Experience in working with version control and build tools like GIT, GitLab, Maven and Jenkins, GitLab CI. Excellent communication and collaboration skills. Familiarity with Python for LLM-related tasks. Working knowledge in RAG Experience working with NLP frameworks such as Hugging Face, OpenAI, or similar. Knowledge of database systems like PostgreSQL, MongoDB, or DynamoDB. Experience with observability tools like Prometheus, Grafana, or ELK Stack. Experience in working with event-driven architectures and messaging systems (e.g., Kafka, RabbitMQ). Experience with CI/CD pipelines, DevOps practices, and infrastructure as code (e.g., Terraform, CloudFormation). Familiar with Agile framework/SCRUM development methodologies One last thing: OpenText is more than just a corporation, it's a global community where trust is foundational, the bar is raised, and outcomes are owned.Join us on our mission to drive positive change through privacy, technology, and collaboration. At OpenText, we don't just have a culture; we have character. Choose us because you want to be part of a company that embraces innovation and empowers its employees to make a difference. OpenText's efforts to build an inclusive work environment go beyond simply complying with applicable laws. Our Employment Equity and Diversity Policy provides direction on maintaining a working environment that is inclusive of everyone, regardless of culture, national origin, race, color, gender, gender identification, sexual orientation, family status, age, veteran status, disability, religion, or other basis protected by applicable laws. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please contact us athr@opentext.com. Our proactive approach fosters collaboration, innovation, and personal growth, enriching OpenText's vibrant workplace.

Job Title - Mid level Gen AI fullstack Experience- 5-6 yrs Location - Remote Notice Period - Immediate to 15 days Primary Skills - Gen AI fullstack, Azure cloud, Python Roles and Responsibilities: Design and build scalable, full-stack applications using Node.js and Python Develop and integrate chatbot solutions using both custom-built and third-party platforms (e.g., Dialogflow, Oracle Digital Assistant) Create responsive, accessible UI components using HTML, CSS, and JavaScript Collaborate with AI/ML teams, UX designers, and product owners to deliver intelligent, user- centric chatbot and Gen AI features Integrate OpenAI APIs (and similar LLMs) into applications for advanced conversational and generative capabilities Apply prompt engineering techniques to fine-tune and optimize LLM behavior for specific business use cases Design and implement Retrieval-Augmented Generation (RAG) pipelines to enable real-time, grounded responses using external data sources Build and manage RESTful APIs and handle backend processing, ensuring seamless data flow Troubleshoot, debug, and optimize performance across the tech stack, especially with AI features in production Write clean, maintainable, and testable code and contribute to peer code reviews Work in an agile environment with a focus on delivery, experimentation, and continuous improvement

Job Type: Full-time, Permanent Job mode: On-Site/Hybrid Joining: Open to immediate joiners and candidates available within 1-2 weeks. Sense7AI Data Solutions is seeking a highly skilled and forward-thinking AI/ML Engineer to join our dynamic team. You will play a critical role in designing, developing, and deploying state-of-the-art AI solutions using both classical machine learning and cutting-edge generative AI technologies. The ideal candidate is not only technically proficient but also deeply familiar with modern AI tools, frameworks, and prompt engineering strategies. Key Responsibilities Design, build, and deploy end-to-end AI/ML solutions tailored to real-world business challenges. Leverage the latest advancements in Generative AI, LLMs (e.g., GPT, Claude, LLaMA), and multimodal models for intelligent applications. Develop, fine-tune, and evaluate custom language models using transfer learning and prompt engineering. Work with traditional ML models and deep learning architectures (CNNs, RNNs, Transformers) for diverse applications such as NLP, computer vision, and time-series forecasting. Create and maintain scalable ML pipelines using MLOps best practices. Collaborate with cross-functional teams (data engineers, product managers, business analysts) to understand domain needs and translate them into AI solutions. Stay current on the evolving AI landscape, including open-source tools, academic research, cloud-native AI services, and responsible AI practices. Ensure AI model transparency, fairness, bias mitigation, and compliance with data governance standards. Required Skills & Qualifications Education: Any degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Experience: 3 – 5 years of hands-on experience in AI/ML solution development, model deployment, and experimentation. Technical Proficiency: Programming: Python (strong), familiarity with Bash/CLI, and Git . Frameworks: TensorFlow, PyTorch, Hugging Face Transformers, Scikit-learn . GenAI & LLM Tools: LangChain, OpenAI APIs, Anthropic, Vertex AI, PromptLayer, Weights & Biases. Prompt Engineering: Experience crafting, testing, and optimizing prompts for LLMs across multiple platforms. Cloud & MLOps: AWS/GCP/Azure (SageMaker, Vertex AI, Azure ML), Docker, Kubernetes, MLflow. Data: SQL, NoSQL, BigQuery, Spark, Hadoop; data wrangling, cleansing, and feature engineering. Strong grasp of model evaluation techniques, fine-tuning strategies, and A/B testing. Preferred Qualifications Experience with AutoML , reinforcement learning, vector databases (e.g., Milvus, FAISS), or RAG (Retrieval-Augmented Generation). Familiarity with deploying LLMs and GenAI systems in production environments. Hands-on experience with open-source LLMs and fine-tuning (e.g., LLaMA, Mistral, Falcon, Open LLaMA). Understanding of AI compliance, data privacy, ethical AI, and explainability (XAI). Strong problem-solving skills and the ability to work in fast-paced, evolving tech landscapes. Excellent written and verbal communication in English. Job Types: Full-time, Permanent Pay: ₹500,000.00 - ₹1,200,000.00 per year Benefits: Flexible schedule Health insurance Paid time off Provident Fund Experience: Machine learning: 3 years (Preferred) AI: 3 years (Preferred) Work Location: In person