Senior AI Engineer

The Role

We're looking for a Senior AI Engineer to build the Bond AI harness: the agents and agentic workflows that help sports facilities run their business. More than 250 facilities across the US and Canada run on our platform, and you'll turn that platform into something agents can work on safely, with real customer data and real money involved. This is a hands-on senior role with a clear path to leading our AI work. You'll work closely with product, the Core Platform group and our New York team.

Why this role

• Build the AI layer of a platform that 250+ sports facilities run on, including NBA, MLS, NHL and USL facilities.
• Take agents from prototype to features facility operators use every day, on real customer data and real payments.
• Own a whole area end to end: agent workflows, guardrails and evaluations.
• Join an AI-native team where coding agents are part of how we build every day.

Requirements

Job Responsibilities

• Prototype AI agent use cases for sports facilities quickly, and decide with product which ones to build.
• Design, develop and ship production agent workflows: tools, prompts and context, model choice, cost and latency.
• Make agents safe to run on customer data: permissions, guardrails, human approval for risky actions and audit logs.
• Build evaluations and monitoring so we know when quality drops or a model change breaks something.
• Build the shared harness infrastructure, such as MCP servers, skills and evaluations, used by both our product agents and our engineering workflow.
• Develop and integrate the APIs, events and third-party services the agents use, building on our platform rather than around it.
• Take agent features all the way to the end: from prototype to a reliable feature customers use every day.
• Optimize agent performance, reliability and cost in production.
• Take part in architecture discussions, review code and mentor engineers.
• Troubleshoot and resolve production issues in agent features.

Must-Haves

• 6+ years of backend development in TypeScript and Node.js.
• Deep, hands-on expertise in AI agents: you've designed and shipped multi-step agent features to production users, including tool calling, tool permissions, context management and guardrails.
• You've built evaluations for LLM outputs and used them to decide what ships.
• Production backend work on AWS with PostgreSQL and message queues or event-driven systems. AWS knowledge at the level of AWS Certified Developer – Associate or above; certification is not required, and an active one is an advantage.
• You build with coding agents (such as Claude Code, Cursor or Codex) every day, and review agent-written code to production standards.
• A track record of owning features end-to-end, from design to production.

You'll work daily with our New York team, so professional working English is a must.