Senior AI Agents Engineer (Remote • Equity)

People in AI; United States; Remote; USD 200,000 - 275,000; Full time

Job summary

People In AI is hiring a remote senior engineer to drive production AI agents that operate in real enterprise workflows. You will own end-to-end architecture and deployment, collaborating with customers to map objectives to engineered solutions.

The role spans backend infrastructure, data orchestration, and integration with diverse enterprise systems. You will work directly with founders on hard AI and enterprise infrastructure problems, shaping scalable platforms and practical deployments that

Qualifications

• Meaningful experience building production AI agents inside a company.
• Clear end-to-end ownership of systems that reached real users or business workflows.
• Strong backend software engineering fundamentals.
• Experience working with LLMs, agents, orchestration, tools, APIs, or AI-driven workflows.
• Ability to discuss architecture decisions, failure modes, debugging, reliability, and production tradeoffs in depth.

Responsibilities

• Build and own production AI agents used in real enterprise workflows.
• Take customer problems from initial scope through architecture, implementation, deployment, and iteration.
• Integrate agents with enterprise systems, APIs, operational data, and existing workflows.
• Work with fragmented and overlapping data sources to create usable business context.
• Design reliable backend systems supporting production agent execution.
• Diagnose agent failures, reliability issues, and unexpected production behaviour.

Skills

Production AI agents

End-to-end ownership

Backend fundamentals

LLMs & agents

APIs integration

Job description

People In AI is hiring a remote senior engineer to drive production AI agents that operate in real enterprise workflows. You will own end-to-end architecture and deployment, collaborating with customers to map objectives to engineered solutions.

The role spans backend infrastructure, data orchestration, and integration with diverse enterprise systems. You will work directly with founders on hard AI and enterprise infrastructure problems, shaping scalable platforms and practical deployments that