What are the responsibilities and job description for the AI Engineer – Agentic System position at Stott and May?
AI Engineer – Agentic Systems / LLM Infrastructure
New York | Series A | $180k–$250k equity
In-office (5 days)
No visa sponsorship (incl. OPT)
Why this role exists
Most teams are still using AI to generate text.
This team is building systems where AI actually does the work.
Think agents that:
- plan tasks
- call tools
- execute workflows
- operate across real enterprise systems
What you’ll actually be building
- Agentic systems that run multi-step workflows end-to-end
- LLM orchestration layers (reasoning, tool use, execution)
- RAG pipelines grounded in real data
- Multi-agent systems coordinating across tasks
- Production-grade backend systems in Python
What makes this interesting
- AI is core to the product, not a feature
- You’re building systems that replace human workflows, not assist them
- Small, technical team with real ownership
- Backed by top-tier investors, moving fast
What they want
- Strong Python fundamentals (this is non-negotiable)
- Experience building with LLMs in production
- Hands-on with tools like LangChain, LangGraph, RAG, or similar
- Track record building scalable systems, not just prototypes
- Comfortable operating in ambiguity and shipping fast
Salary : $200,000 - $280,000