Senior Applied AI Engineer

People in AI; New York (NY); On-site; USD 180,000 - 250,000; Full time

Job summary

People In AI in New York City is seeking a hands-on backend engineer to own production AI systems and LLM agent workflows from idea to deployment.

You’ll ship production agents, integrate with existing data and ML stacks, and help elevate reliability while collaborating with the CTO, ML and operations teams.

This on-site role requires strong Python and backend experience, plus a track record of shipping meaningful technical work for AI-powered investigations.

Qualifications

• Backend engineer with production AI systems shipped.
• Strong Python and backend experience.
• Experience shipping LLM agents and AI systems to production.
• Hands-on with evaluations, graders, and testing frameworks.
• Familiarity with agent tooling such as OpenHands, Agent2Agent, MCP.

Responsibilities

• Build and ship production AI agents and multi-step LLM workflows.
• Develop agents that enrich claim information using permissible public sources.
• Build internal workflows to help operations review ambiguous records.
• Integrate agents with existing backend, data, and ML systems.
• Monitor production performance, investigate failures, and improve reliability.
• Work closely with the CTO, ML, backend, and operations teams.

Skills

Python

Backend engineering

LLM agents

Testing frameworks

OpenHands

Agent2Agent

MCP

Tools

OpenHands

Agent2Agent

MCP

Job description

Compensation:

$180k - $250k base + equity

Location:

New York City (Chelsea) — fully on-site five days/ week

We’re partnering with a fast-growing NYC AI startup that’s building agentic systems for complex, high-stakes insurance investigations. The team already has strong backend in place and is now building its next generation of AI agents and LLM workflows.

This is a hands‑on IC role for an engineer with a backend background who has shipped production AI systems and wants real ownership from idea through deployment.

What You’ll Do

• Build and ship production AI agents and multi‑step LLM workflows.
• Develop agents that enrich claim information using permissible public sources.
• Build internal workflows to help operations review ambiguous records.
• Integrate agents with existing backend, data, and ML systems.
• Monitor production performance, investigate failures, and improve reliability.
• Work closely with the CTO, ML, backend, and operations teams.

What You’ll Bring

• Strong Python and production backend engineering experience.
• Experience shipping LLM agents and AI systems to production.
• Hands‑on with evaluations, graders, and testing frameworks.
• Familiarity with agent tooling such as OpenHands, Agent2Agent, and MCP.
• Able to move quickly from prototype to robust production systems.
• Clear track record of owning and shipping meaningful technical work.

Why Join?

Join a small, technical team with real customer traction and established infrastructure, where you’ll help build the applied AI layer from the ground up and see your work used in real operational workflows.

About People In AI

People In AI connects exceptional AI, ML, Data, and Engineering talent with high-growth technology companies building the future of AI.