AI Engineer-Agentic Workflow

AI Engineer – Agentic AI / LLM Systems

Please read the following job description thoroughly to ensure you are the right fit for this role before applying.

New York | Series A Startup

$180–$250k + Equity

In office (5 days)

No visa sponsorship available

A fast-growing, venture-backed AI company is hiring AI Engineers to build systems where AI doesn’t just respond, but actually learns and executes real enterprise workflows .

The team is developing AI agents that can understand how businesses operate, generate structured instructions, and take action across complex systems, with built-in confidence scoring and human-in-the-loop decisioning .

The role

Build and deploy agentic AI systems that automate complex, real-world workflows

Design systems for LLM orchestration, tool usage, and multi-step execution

Develop production-grade systems in Python

Implement RAG pipelines, multi-agent systems, and learning workflows

Build evaluation and confidence frameworks to determine when to automate vs escalate

Work directly with customers to prototype and ship systems into production

Requirements

Strong engineering background with Python

Experience building production LLM systems

Experience with xsgimln agentic frameworks, RAG, or orchestration tools (LangChain, LangGraph, etc.)

Experience building scalable AI systems or automation workflows

Interest in learning systems, human-in-the-loop workflows, or evaluation frameworks

This is an opportunity to join a small, highly technical team building next-generation AI systems backed by leading investors, working on problems at the edge of what’s currently possible in applied AI.