About the role

EXL is recognized as a global leader in the fields of analytics, artificial intelligence, and digital solutions, catering to a diverse range of industries. As you may know, this company specializes in digital transformation and is publicly traded on NASDAQ under the ticker symbol EXLS. With a market valuation of approximately $1.3 billion, EXL boasts a workforce of over 48,000 employees spread across the globe. The company proudly serves more than 800 clients worldwide, demonstrating its extensive reach and influence in the market.

Job Title: Senior AI/Data Engineer – Agentic AI & LLM

Location: Pune/Gurugram/Noida/Hyderabad/Chennai/Bangalore (Hybrid)

Job Summary

We are looking for a highly skilled Senior AI/Data Engineer with hands-on experience in Agentic AI, Large Language Models (LLMs), and modern data engineering technologies. The ideal candidate should have experience designing and deploying AI-powered applications, building RAG pipelines, developing multi-agent systems, and working with cloud-based data platforms.

Key Responsibilities

Design and develop Agentic AI and Multi-Agent systems using modern AI frameworks.
Build, optimize, and maintain Retrieval-Augmented Generation ( RAG ) (RAG) pipelines.
Develop AI-powered applications using LangGraph and/or LangChain .
Build scalable data pipelines using Python , PySpark, and SQL .
Develop and integrate REST APIs using FastAPI or Flask.
Work with Azure Databricks, Microsoft Fabric, or Snowflake to build robust data solutions.
Collaborate with cross-functional teams to design, develop, and deploy AI-driven applications.
Deploy and manage solutions on Azure, AWS, or GCP.
Optimize application performance, scalability, and reliability.
Follow best practices for coding, testing, documentation, and CI/CD.
Amazon Sagemaker or Bedrock experience.

Required Skills

Hands-on experience with Agentic AI or Multi-Agent systems.
Strong experience with LangGraph and/or LangChain.
Experience building RAG pipelines.
Strong programming skills in Python and PySpark.
Strong SQL expertise.
Experience with Azure Databricks, Microsoft Fabric, or Snowflake.
Experience integrating REST APIs using FastAPI or Flask.
Hands-on experience with Azure, AWS, or GCP cloud platforms.
Good understanding of LLMs, prompt engineering, vector databases, and AI application architecture.

Preferred Skills

Experience with OpenAI, Azure OpenAI, or similar LLM platforms.
Knowledge of vector databases such as Pinecone, FAISS, ChromaDB, or Weaviate.
Experience with Docker, Kubernetes, Git, and CI/CD pipelines.
Strong analytical, debugging, and problem-solving skills.