Lead Agentic AI Engineer

About this role

Job Title:
Lead Agentic AI Engineer

Location:
Remote USA.

Employment Type:
Contract (C2C/W2)

Duration:
12-month contract (possible extension)

Job Summary

We are seeking a highly experienced
Lead Agentic AI Engineer
to design, develop, and deploy next-generation AI solutions powered by Large Language Models (LLMs) and Agentic AI frameworks. The ideal candidate will have deep expertise in Python, LangChain, LangGraph, Retrieval-Augmented Generation (RAG), AI Agents, MCP Servers, and AWS Bedrock. This role involves leading the architecture and implementation of enterprise-grade AI assistants, autonomous agents, and intelligent workflows while mentoring engineering teams and driving AI innovation.

Key Responsibilities

• Design, develop, and deploy scalable Agentic AI applications for enterprise use cases.
• Lead the development of autonomous AI agents using LangChain, LangGraph, and modern orchestration frameworks.
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and enterprise knowledge sources.
• Develop AI Chatbots, AI Assistants, and multi-agent systems capable of complex reasoning and workflow automation.
• Design and implement MCP (Model Context Protocol) Servers and tool-based AI architectures.
• Integrate Large Language Models (OpenAI, Anthropic, AWS Bedrock models, etc.) into production applications.
• Build secure AI services deployed on AWS cloud infrastructure.
• Develop reusable AI components, APIs, and orchestration layers for enterprise AI platforms.
• Optimize prompt engineering, memory management, context handling, and agent execution strategies.
• Collaborate with architects, product owners, and engineering teams to deliver scalable AI solutions.
• Mentor junior engineers and establish AI engineering best practices.
• Ensure AI applications meet performance, scalability, security, and reliability standards.

Required Skills

• Strong Python programming experience.
• Hands-...