Senior AI Engineer
EXL (company site, opens in a new tab)4–6 yrsGurugramOn-siteDirect career pageEst. 20–35 LPA
Posted on 3 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and deliver enterprise-grade AI solutions leveraging LLMs and multi-agent architectures using LangChain and LangGraph.
- Own end-to-end development from problem definition to production deployment, including building scalable AI pipelines and APIs.
- Optimize AI system performance, cost, and reliability while collaborating with cross-functional product, engineering, and data teams to meet business objectives.
Minimum Requirements
- 4–6 years of experience in AI/ML engineering or related fields.
- Strong Python programming skills required.
- Experience with LLMs, LangChain, LangGraph, multi-agent systems, and related frameworks such as MCP.
- Experience deploying AI solutions on cloud platforms (Azure/AWS/GCP) and familiarity with MLOps and production deployment practices.
Ideal Candidate Profile
- Experienced in architecting and managing complex multi-agent AI systems and workflows.
- Proficient in integrating advanced LLM techniques including RAG, embeddings, prompt engineering, and orchestrations.
- Comfortable operating in cross-functional, collaborative environments delivering business-driven AI solutions at enterprise scale.