Senior AI Engineer

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

Good 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 [Confidential Information] with updated resume and fill the form below.

In Person Interview Registration | AI Engineer (3-5 Yrs) | EXL Service, Noida – Fill out form