Job Description:

We are looking for robust 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
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