Senior GenAI Engineer Remote - LangChain, Langraph, MCP

Terra Technology Circle Consulting

United States

Remote

USD 150,000 - 210,000

Full time

14 days+
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Job summary

Terra Technology Circle Consulting is seeking a senior GenAI/LLM engineer with 7+ years of hands-on experience to join the remote development team. You will work with LangChain, Langraph, MCP, and Agent Harness to design and deploy scalable AI solutions using Python.

The role requires extensive collaboration across engineering teams and a track record of end-to-end project delivery in a fast-paced environment. Immediate joining is preferred.

Qualifications

  • 7+ years of experience in GenAI/LLM engineering and end-to-end project involvement.
  • Senior Engineers/Leads with hands-on experience as part of development teams.

Responsibilities

  • Architect and use MCP(Model Context Protocol) for scalable AI solutions.
  • Design and deploy Langraph-based agents for complex workflows.
  • Build and optimise LangChain-powered applications.
  • Implement agent harness frameworks to manage autonomous agents at scale.
  • Utilise Python as primary programming language.
  • Develop self-learning agents enabling continuous improvement.
  • Collaborate with cross-functional teams to integrate AI solutions into enterprise systems.
  • Ensure performance, scalability, and reliability of deployed models.

Skills

GenAI/LLM engineering
LangChain
Langraph
MCP
Agent Harness
Python
SQL
OpenAI frameworks
Communication
Collaboration

Education

Engineering/Masters degree in IT, Computer Engineering or Software Engineering

Tools

LangChain
Langraph
MCP
Agent Harness

Job description

Terra Technology Circle Consulting is seeking a senior GenAI/LLM engineer with 7+ years of hands-on experience to join the remote development team. You will work with LangChain, Langraph, MCP, and Agent Harness to design and deploy scalable AI solutions using Python.

The role requires extensive collaboration across engineering teams and a track record of end-to-end project delivery in a fast-paced environment. Immediate joining is preferred.

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