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, Milvus, Qdrant, FAISS, ChromaDB)
- Strong Python programming skills; familiarity with API integration (REST/GraphQL)
- Understanding of embedding models and semantic search concepts
- Experience with cloud platforms (AWS/Azure/GCP) for AI model deployment
- Familiarity with LLM orchestration, tool-calling, and function-calling paradigms
- Exposure to MLOps practices (model versioning, monitoring, CI/CD for ML) is a plus

Valuable to Have

- Experience fine-tuning open-source LLMs
- Knowledge of evaluation frameworks (RAGAS, LangSmith, etc.)
- Prior experience in BFSI, healthcare, or other regulated domains
- Familiarity with Docker/Kubernetes for containerized deployments

Qualifications

- Bachelor's/Master's degree in Computer Science, Engineering, Data Science, or related field

For quick, response, please reach out to [email protected] with updated resume and fill the form below. In Person Interview Registration | AI Engineer (3-5 Yrs) | EXL Service, Noida – Fill out form

📌 Senior AI Engineer (Noida)
🏢 EXL
📍 Noida