onsite
Agentic AI Engineer - EXL Service
AI Engineer
Design, build, and deploy production‑grade autonomous AI agents that orchestrate complex, multi‑step workflows using large language models, tool‑use frameworks, and enterprise data pipelines.
About the role
Key Responsibilities
- Design and implement single and multi‑agent systems with robust tool‑use, memory, and fallback mechanisms.
- Build production‑grade agents using LangGraph, AutoGen, CrewAI, or custom LLM orchestration layers.
- Develop agent reasoning loops that include planning, tool selection, execution, and observation.
- Integrate agents with enterprise data pipelines and monitor performance in real‑time environments.
- Collaborate with data scientists and software engineers to refine models and improve agent reliability.
Requirements
- Strong experience in Python and LLM orchestration frameworks.
- Hands‑on knowledge of LangGraph, AutoGen, or CrewAI.
- Proficiency in designing memory‑aware, fallback‑enabled agent architectures.
- Experience with cloud deployment and monitoring of AI services.
- Excellent problem‑solving skills and a passion for building autonomous systems.