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Job Description
Structured overview of role & requirementsAbout This Role
Build, test, and deploy autonomous AI agents capable of reasoning, multi-step planning, and tool utilization in enterprise environments.
Transition AI prototypes into resilient production systems focusing on clean, performant code, optimizing LLM prompts, and managing agentic workflows.
Develop API wrappers, state retention systems, ingestion pipelines, error handling, and deterministic testing for LLM-based autonomous agents.
Minimum Requirements
3-6 years core software engineering experience, with at least 1+ year in production-grade LLM applications, RAG pipelines, or Agentic workflows.
Proficient in Python (FastAPI, Pydantic, Asyncio) and experienced with LLM orchestration frameworks like LangGraph, LangChain, AutoGen, or LlamaIndex.
Experience building REST/gRPC API wrappers, writing JSON schemas for function calling, and working with vector databases.
Knowledge of CI/CD, Git workflows, unit/integration testing, Docker, and observability tools for monitoring agent execution and prompt evaluation.
Ideal Candidate Profile
Experienced in developing complex multi-step AI agent behaviors and prompt optimization techniques (Chain-of-Thought, ReAct).
Hands-on with LLM orchestration frameworks and stateful context retention systems for multi-turn interactions in enterprise contexts.
Experienced in building robust, scalable API integrations and observability for debugging and performance optimization of AI agents.