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Agentic AI Engineer
Job summary
Work model
AGENTIC AI ENGINEER
We are seeking an Agentic AI Engineer to design and implement custom AI solutions using frameworks like LangGraph, CrewAI, AutoGen, and others. This is a long-term contract opportunity with Fortune 500 clients across the US.
Responsibilities
- Architecting goal-oriented, multi-agent workflows using frameworks like LangGraph, CrewAI, AutoGen, etc.
- Integrate LLMs, RAG pipelines, and external APIs/tools into end-to-end agent systems.
- Build prompt templates, memory/state management, and reusable workflow components.
- Implement short-term (context window) and long-term (Vector DB) memory systems.
- Develop and tune control loops such as ReAct, Chain of Thought, and self-reflection mechanisms.
- Own testing and debugging for multi-agent systems, including tracing, evals, and regression testing across workflows.
- Build guardrails and approval gates to prevent autonomous actions.
Required Skills
- Programming: Python (Must), Go.
- AI Frameworks: Exposure to MCP, LangChain, LangGraph, CrewAI, AutoGen.
- Infrastructure: Proficiency in Docker, Kubernetes, and cloud AI services.
Candidate Details/Skills Matrix
Please provide the following information along with your Word-formatted resume:
- Full Name:
- Total Exp.:
- Total exp. in Agentic AI:
- Total exp. in Python & Go:
- Total exp. in cloud AI services:
- Contact No:
- Email ID:
- Current Location:
- Work Authorization (if H1B, please provide your employer details):
- Expected Salary/Rate:
- Availability:
- LinkedIn: