Artificial Intelligence Engineer

Job Description

We are looking for strong GenAI/LLM engineers who have good hands- on experience using Lang Chain, Lan Graph, 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, #Agent Harness, #Python

• MCP:
  Architect and use MCP(Model Context Protocol) for scalable AI solutions.
• Langraph Agents:
  Design and deploy Langraph-based agents for complex workflows.
• Lang Chain Development:
  Build and optimise LLM-powered applications using Lang Chain.
• 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.

• 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, Lang Chain, Lan Graph
• 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.