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Stott and May · New York
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
Strong engineering background with
Python
Experience with
agentic frameworks, RAG, or orchestration tools
(LangChain, LangGraph, etc.)
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.
Details
| Company | Stott and May |
| Location | New York |
| Type | FULL TIME |
| Niche | Full-time |
| Salary | $2,50,000 – $2,50,000 / yr |