Vacancy description
Sunovaa Tech Pvt. Ltd.
India, Pune
AI Application Developer in Pune, India is listed on Jobeax. Browse 30,000+ vacancies available.
Job Description :AI Engineer - GenAI / Agentic AILocation : PuneWork Mode : HybridExperience : 5+ YearsRole Overview :We are looking for an experienced AI Engineer with strong hands-on expertise in Generative AI, NLP, LLMs, RAG, GraphRAG, and Agentic AI. The ideal candidate should have strong Python programming skills and proven experience in developing and deploying production-grade GenAI applications. The candidate should be comfortable working across the complete AI application lifecycle, from solution design and architecture to development, testing, deployment, and production https://jobeax.com/link/nyvIPyp1073tShWe Responsibilities :- Design and develop enterprise-grade Generative AI and LLM-based applications.- Build and implement RAG and GraphRAG solutions.- Develop Agentic AI and Multi-Agent systems.- Implement prompt engineering, prompt optimization, tool calling, memory management, and agent workflows.- Work with LLMs such as OpenAI GPT, Claude, Gemini, Llama, and Mistral.- Develop scalable and maintainable applications using Python.- Work with vector databases and semantic search technologies.- Implement automated evaluation frameworks to measure AI output and retrieval quality.- Develop and maintain unit/integration tests using Pytest.- Use Docker, Git, code reviews, and modern software engineering practices.- Take ownership of AI solutions from architecture through production deployment and https://jobeax.com/link/O52PENrNkAqfem4g Skills :- 5+ years of software engineering / AI engineering experience.- 2 - 3+ years of hands-on Generative AI / LLM development.- 3+ years of NLP experience.- Strong Python programming experience.- Hands-on experience with RAG and GraphRAG.- Strong experience with Agentic AI and Multi-Agent systems.- Strong Prompt Engineering and Prompt Optimization skills.- Experience with LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, Semantic Kernel, or similar frameworks.- Experience with vector databases such as FAISS, Pinecone, ChromaDB, Weaviate, Milvus, or OpenSearch.- Proven experience developing and deploying production-grade GenAI https://jobeax.com/link/eieGeRgqgkAwwfNQ to Have :- Experience with AWS Bedrock or Azure OpenAI.- Knowledge of Model Context Protocol (MCP).- Experience with cloud-based AI platforms.- CI/CD and DevOps https://jobeax.com/link/wG4xWp4WUrWMLMb3 Candidate Profile :- Candidates with experience as GenAI Engineer, AI Engineer, LLM Engineer, Agentic AI Developer, Applied AI Engineer, AI Application Engineer, or Generative AI Engineer are preferred.- Important: Candidates should have hands-on production experience with GenAI applications and not only POCs, academic projects, or notebooks. (ref:hirist.tech)
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