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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.

📌 Artificial Intelligence Engineer (Delhi)
🏢 Terra Technology Circle Consulting
📍 Delhi