Senior AI Engineer (GenAI/Agentic AI)
Location: Noida (hybrid)
Experience: 3–5 years
Note:
Interview Process- In Person in Noida
Domain- Healthcare
About the Role
We are looking for an Agentic AI / Gen AI Engineer to design, build, and deploy AI-driven agentic systems and LLM-powered applications. The ideal candidate has hands-on experience with prompt engineering, retrieval-augmented generation (RAG), and vector database implementations, and is comfortable working across the full lifecycle from prototyping to production deployment.
Key Responsibilities
Design and develop agentic AI workflows using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similar
Build and optimize Generative AI applications leveraging LLMs (OpenAI, Anthropic, open-source models like Llama/Mistral)
Implement RAG pipelines integrating vector databases (Pinecone, Weaviate, Milvus, Qdrant, FAISS, or ChromaDB)
Design, test, and refine prompts for accuracy, consistency, and cost-efficiency across use cases
Architect and maintain embedding pipelines for semantic search and knowledge retrieval
Collaborate with data engineering teams to integrate structured/unstructured data sources into AI pipelines
Fine-tune or adapt pre-trained models where applicable for domain-specific use cases
Monitor, evaluate, and improve model outputs using evaluation frameworks and guardrails
Deploy and maintain AI solutions in production environments (API integration, containerization, cloud deployment)
Document architecture, prompt libraries, and technical decisions for team knowledge sharing
Required Skills & Experience
2–5 years of experience in AI/ML engineering, with recent hands-on exposure to Generative AI and LLM-based systems
Practical experience with prompt engineering techniques (few-shot, chain-of-thought, prompt chaining)
Working knowledge of agentic AI frameworks (LangChain, LangGraph, AutoGen, CrewAI, or similar)
Hands-on experience with at least one vector database (Pinecone, Weaviate, Milv
📌 Senior AI Engineer (Noida)
🏢 EXL
📍 Noida