AI Engineer-Agentic Workflow

AI Engineer – Agentic AI / LLM Systems

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

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.