What are the responsibilities and job description for the AI Engineer-Agentic Workflow position at Stott and May?
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.
Salary : $180,000 - $250,000