Senior AI (Ahmedabad)

Exp: 3+ years | In office About the Role We are looking for a Senior Python AI/ML Engineer with hands-on experience building and deploying production-grade Generative AI applications. You ll be responsible for designing scalable AI systems, developing intelligent agents, implementing high-performance RAG pipelines, and taking AI solutions from prototype to production. Position: Senior Python AI/ML Engineer Joining: Immediate Joiners Preferred Must-Have Skills - Strong proficiency in Python - FastAPI for building scalable backend APIs - PostgreSQL and Redis - LangGraph for building AI agents and workflows - LangSmith and Langfuse for LLM evaluation, tracing, and observability - Docker Docker Compose for containerization and deployments - Experience building production-ready RAG (Retrieval-Augmented Generation) pipelines - Hands-on experience with Qdrant or other vector databases (Pinecone, Weaviate, Milvus, ChromaDB, FAISS) - Strong understanding of embeddings, semantic search, chunking strategies, hybrid search, reranking, and retrieval optimization - Experience deploying and maintaining AI applications on Linux servers or cloud infrastructure - Git and modern software development practices Responsibilities Build scalable AI/LLM applications and backend services. Design, develop, and optimize production-grade RAG pipelines. Develop AI agents and workflows using LangGraph. Integrate and optimize LLMs from OpenAI, Anthropic, Gemini, Llama, Mistral, DeepSeek, or similar providers. Implement LLM evaluation, monitoring, tracing, and observability using LangSmith and Langfuse. Optimize prompts, retrieval strategies, latency, and inference performance. Deploy and manage AI services using Docker, Docker Compose, and Linux servers. Collaborate with product and engineering teams to deliver reliable AI-powered features. Good to Have LangChain or LlamaIndex Fine-tuning using Hugging Face, LoRA, QLoRA, PEFT, or SFT Experience with vLLM, Ollama, or other model-serving fram .