Artificial Intelligence Engineer

Terra Technology Circle Consulting; United States; Remote; USD 150,000 - 210,000; Full time

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

Job Description

We are looking for strong GenAI/LLM engineers who have good hands- on experience using LangChain, LanGraph, MCP, Agent Harness and Python with 7+ years of experience. You should have worked extensively as part of the development team and participated in agent design. End-to-end project experience would be a necessary requirement.

Experience: Senior Engineers/Leads: 7+ years

Location: Remote

Employment Type: Full-Time

Joining Time: Immediate to max 30 days.

Essential Skills: #GenAI, #AgenticAI, #Langraph, #MCP, #AgentHarness, #Python

Key Responsibilities

• MCP: Architect and use MCP(Model Context Protocol) for scalable AI solutions.
• Langraph Agents: Design and deploy Langraph-based agents for complex workflows.
• LangChain Development: Build and optimise LLM-powered applications using LangChain.
• Agent Harness: Implement agent harness frameworks to manage and scale autonomous agents.
• Must have used Python as programing language extensively.
• Self-Learning Agents: Develop adaptive agents capable of continuous improvement and learning.
• Collaborate with cross-functional teams to integrate AI solutions into enterprise systems.
• Ensure performance, scalability, and reliability of deployed models.

Key Skills & Experience

• Engineering/Masters degree in IT, Computer Engineering or Software Engineering
• Strong knowledge of Gen AI & Open AI based frameworks and tools
• Experience in building MCPs and agent harness systems
• Experience in LLMs, LangChain, LanGraph
• Strong knowledge of Python and SQL
• Proven ability to design and deploy self-learning agents
• Excellent communication, collaboration, and technical skills to work across multiple teams.