AI Application Developer in Pune, भारत

About the job :Location : Bangalore / Lucknow / PuneWork Model : HybridRole Type : Full-time, Senior LevelExperience : 4 - 6 YearsRole Overview :We are looking for a Generative AI / Agentic AI Developer with strong experience in Large Language Models (LLMs), AI Agents, RAG architectures, and intelligent automation systems. The role involves designing, developing, and deploying next-generation AI-powered applications using modern GenAI frameworks and multi-agent architectures. The ideal candidate should have hands-on experience with LLM ecosystems, prompt engineering, AI orchestration frameworks, vector databases, and cloud-based AI deployments. The candidate will work closely with Data Engineering, Product, and AI teams to build scalable AI-driven solutions for enterprise use https://jobeax.com/link/sLvd3ppXDN3k9Qmi Responsibilities :- Design and develop GenAI and Agentic AI applications using LLMs- Build AI agents, multi-agent workflows, and autonomous task execution systems- Develop RAG-based pipelines using vector databases and retrieval frameworks- Integrate LLMs such as OpenAI, Claude, Gemini, Llama, or Mistral into enterprise applications- Work on prompt engineering, fine-tuning, evaluation, and response optimization- Build AI-powered assistants, Q&A systems, summarizers, automation bots, and intelligent workflows- Develop scalable APIs and backend services for AI applications- Collaborate with Data Engineering and Product teams for AI solution deployment- Optimize model performance, latency, and cost efficiencyRequired Skills :- Strong proficiency in Python- Hands-on experience with LLMs and Generative AI frameworks- Experience with LangChain, LangGraph, CrewAI, LlamaIndex, or similar frameworks- Strong understanding of RAG architecture and vector databases (Pinecone, ChromaDB, FAISS, Weaviate, etc.)- Experience with prompt engineering and LLM optimization- Exposure to multi-agent systems and Agentic AI workflows- Knowledge of NLP, embeddings, semantic search, and AI orchestration- Experience with REST APIs, FastAPI, or backend integration- Exposure to cloud platforms such as AWS, Azure, or GCP- Understanding of CI/CD, Docker, and deployment workflows (ref:hirist.tech)