Product Engineer, AI Enablement & Internal Tools

Ultra Robotics; New York (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

Ultra is seeking a Product Engineer, AI Enablement to design and roll out tools that help the company leverage AI effectively. You will collaborate across engineering, operations, deployment, data, and other teams to turn workflows into reliable internal tools.

The role focuses on building the internal AI stack, evaluating tools, and ensuring safe, scalable adoption across the organization. This is a production software role with an in-person NYC presence.

Qualifications

• Strong software engineering fundamentals; backend services, internal tools, integrations, automation

Responsibilities

• Own AI tooling adoption across Ultra: find where AI improves velocity, build or integrate the solution, teach people to use it, and drive adoption until it sticks
• Build the internal AI stack: services, workflows, interfaces, model integrations, and the agent infrastructure behind them
• Make agents competent and trustworthy in Ultra's codebase and systems—context, tool access, review, testing, CI
• Partner with operations, deployment, data, and business teams on workflows that give them leverage, then hand off maintainable systems with clear owners
• Build the reusable layer: connectors, shared context, templates, examples, and guardrails so other people can extend what you ship
• Evaluate the AI tooling ecosystem and decide what Ultra should adopt, compose, or build
• Partner with infrastructure and security so AI tools have useful access without becoming a liability
• Measure adoption, productivity, and whether the tool is actually trusted; expand what works and kill what doesn't

Skills

Python

TypeScript

Agentic systems

LLM tooling

Production software

Job description

Ultra is seeking a Product Engineer, AI Enablement to design and roll out tools that help the company leverage AI effectively. You will collaborate across engineering, operations, deployment, data, and other teams to turn workflows into reliable internal tools.

The role focuses on building the internal AI stack, evaluating tools, and ensuring safe, scalable adoption across the organization. This is a production software role with an in-person NYC presence.