Key Responsibilities:
- Design, develop, and maintain GenAI-powered applications such as chatbots, customer support assistants, recommendation assistants, and document/query intelligence systems.
- Build and optimize RAG pipelines including document ingestion, chunking, embeddings, vector search, retrieval logic, reranking, and response generation.
- Work on LLM orchestration using frameworks such as LangChain, LangGraph, LlamaIndex, or similar tools.
- Develop backend AI services using Python, FastAPI, REST APIs, and microservice-based architecture.
- Implement intent classification, entity extraction, query parsing, and structured JSON output generation for business workflows.
- Work with open-source and cloud-based LLMs, including local model setup, model serving, and inference optimization.
- Implement guardrails to prevent hallucination, unsafe responses, competitor comparisons, irrelevant answers, prompt injection, and data leakage.
- Optimize AI systems for latency, accuracy, reliability, token usage, and scalability.
- Integrate AI workflows with backend systems, databases,



APIs, CRM/ERP systems, payment flows, and business applications.
- Create evaluation datasets, regression test cases, accuracy reports, and failure analysis for AI responses.
- Collaborate with product managers, backend developers, DevOps teams, and business stakeholders to convert business requirements into scalable AI solutions.

Required Skills:
- Strong hands-on experience with Python and backend development.
- Practical experience in building LLM-based applications using OpenAI, Claude, Gemini, Llama, Mistral, or other open-source models.
- Positive understanding of RAG architecture, embeddings, vector databases, semantic search, hybrid search, and retrieval optimization.
- Experience with frameworks such as LangChain, LangGraph, LlamaIndex, or similar orchestration tools.
- Knowledge of vector databases such as FAISS, ChromaDB, Pinecone, Weaviate, Qdrant, Milvus, or pgvector.
- Experien

📌 Artificial Intelligence Engineer (Pune)
🏢 iProgrammer Solutions
📍 Pune