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 xhqgsiq 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.
AI Engineer-Agentic Workflow in new york at Unknown Company
This position is listed as full time and onsite.