Agentic AI Engineer

We are hiring an Agentic AI Engineer to build advanced agentic AI systems.

This is a core engineering role focused on designing and implementing stateful, context-aware AI agents and long-running reasoning systems. The role is strictly technical and backend-focused, not coordination, PM, or basic chatbot/RAG development.

You will work on building production grade agent workflows with structured state, memory, and tool orchestration using LangChain, LangGraph, and LangSmith.

WHAT YOU WILL DO

• Design and develop advanced agentic systems using Python
• Build multi-step, stateful AI workflows using LangGraph
• Implement structured state and context management across agent lifecycles
• Design memory and persistence strategies for long-running agents
• Build tool-using and reasoning agents with controlled execution flows
• Implement structured outputs, guards, and reliability mechanisms
• Integrate LLMs and external tools/APIs into agent pipelines
• Use LangSmith for tracing, debugging, evaluation, and monitoring
• Optimize reliability, latency, and scalability of agent workflows
• Write clean, modular, production-grade Python code

WHAT YOU WILL NEED

• Strong Python development experience and 3+ years of experience.
• Hands-on experience with:
• LangChain
• LangGraph
• LangSmith
• Experience building stateful agent-based systems (not basic prompt wrappers)

Strong understanding of:

• State management in agent workflows
• Context propagation across multi-step executions
• Structured memory and persistence
• Tool-calling and controlled execution loops
• Strong debugging and backend system design skills

Strongly Preferred:

• Experience designing complex multi-step reasoning systems
• Exposure to modern agent orchestration patterns/frameworks
• Experience with evaluation, observability, and reliability of LLM systems
• Async Python and performance optimization experience
• GitHub or demonstrable agentic AI projects