Senior Applied AI Engineer

Salary: $170,000 - 250,000 per year Requirements:

• Strong Python skills and production backend engineering experience.
• Experience delivering LLM agents and AI systems in production.
• Hands-on experience with evaluations, graders, and testing frameworks.
• Familiarity with agent tools such as OpenHands, Agent2Agent, and MCP.
• Ability to move quickly from prototype to reliable production systems.
• A demonstrated record of owning and delivering meaningful technical work.

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

• AI
• AI Agents
• Backend
• CTO
• LLM
• Machine Learning
• MCP
• Python

More:

Were partnering with a fast-growing New York City AI startup building agentic systems for complex, high-stakes insurance investigations. The team has established backend infrastructure and is developing its next generation of AI agents and LLM workflows. This hands-on individual-contributor role offers ownership from initial idea through deployment, with the opportunity to help build the applied AI layer from the ground up and see your work used in real operational workflows. Youll join a small, technical team with established infrastructure and real customer traction. Compensation is $170,000–$250,000 base plus equity. The role is based in Chelsea, New York City, and requires working on-site five days a week. We at People In AI connect AI, machine learning, data, and engineering talent with high-growth technology companies.

last updated 42 week of 2026