Description

Key Responsibilities

Agent & AI System Development
Design and build agent-based systems using frameworks such as LangChain, LangGraph, or similar Develop intelligent components capable of reasoning, planning, and executing tasks autonomously Implement advanced cognitive patterns such as ReAct (Reasoning + Acting) LLM Capabilities & Enhancements

Develop and integrate memory, tool usage, and context management capabilities (MCP) Build systems that leverage tool calling, chaining, and orchestration of LLM workflows Collaborate with prompt engineers to enhance model responses and performance Engineering & Development

Write high-quality, scalable code using Python (including async programming) Build and maintain APIs and microservices for AI/agent-based applications Ensure systems are efficient, reliable, and production-ready Guardrails & Responsible AI
Design and implement guardrails and safety mechanisms for LLM-driven systems Ensure robust handling of edge cases, failure scenarios, and unintended outputs Data & Platform Integration

Key Skills

Education

Bachelor's degree