Senior AI Engineer (AI Automation)

TRM Labs is looking for a Senior AI Engineer (AI Automation) to embed with Product and help build agentic solutions that improve how teams work and how they understand customers. This is an end-to-end role focused on shipping production-quality code, creating automations and apps that drive adoption, and turning rough ideas into usable prototypes quickly.

What you’ll do

• Transform repetitive, manual tasks into agents and automations so Product, Product Marketing, and Design can focus on judgment and customer work instead of busywork.
• Provide direct access to customer insight by building tools that surface the underlying data behind key decisions.
• Ship agentic solutions that teams actually adopt, enabling the same headcount to operate at a larger scale.
• Create reusable, maintained components so future builds are faster and teams avoid rebuilding existing capabilities.
• Turn early ideas into working prototypes in hours, then ship same-day production fixes to shared agents to support faster speed to market across Product and Marketing.

What you bring

• Strong software engineering in Python or TypeScript, with the ability to ship production code rather than only wiring together workflows.
• Very high AI fluency, including hands-on development with agentic solutions on current frontier models, such as MCP, retrieval, evals, and observability. Evidence of something you built is expected.
• Experience translating requirements from non-engineers and identifying the real need behind the request.
• Practical judgment about where AI adds value and where it does not.
• Experience delivering solutions that non-technical teams adopt and keep using.
• Daily use of AI-assisted coding tools such as Claude Code or Cursor.
• Senior scope and ownership: ability to run end-to-end problem ownership with little direction and comfort operating amid ambiguity.

AI Automation Engineering context

AI Automation Engineering is the engineering home for internal tooling and agents, embedded with Product, Product Marketing, and Design. You will remain connected to engineering for standards, code review, and shared infrastructure so what you build holds up in production and compounds across teams. The work is intentionally high-ownership and ambiguous, with an async-first, globally distributed operating model.

Tools and technologies

• Python, TypeScript
• MCP, retrieval, evels, observability
• Claude Code, Cursor, Slack

How the team works

• Embedded overlap of roughly 6 hours, with 8:00am to 5:00pm PST.
• Async-first collaboration via Slack and written documentation.
• No travel, no onsite, and no on-call.
• Required online and collaboration hours scheduled as roughly 6 hours overlap with 8:00am to 5:00pm CT.

What success looks like early

• A rough idea becomes a working prototype in hours.
• You ship an improvement to a shared agent or app to production the same day a user reports a problem.
• Within the first 90 days, a team relies on something you built as part of their weekly work.

Interview process

Most interview processes include a case study, an AI skills assessment, and a Leadership Principles interview.

AI fluency expectations

AI fluency is a baseline expectation at TRM. The company expects team members to use AI to accelerate and reimagine their craft, applying it to repeatable workflows, structuring and solving problems, improving output quality, and increasing speed and leverage. You will be evaluated on applied AI fluency during the interview process.

Leadership Principles

• Impact-Oriented Trailblazer: customers first, speed, focus, adaptability, and rapid test-ship-measure-iterate cycles.
• Master Craftsperson: high standards, end-to-end ownership, and continuous improvement.
• Inspiring Colleague: clarity and energy with humility, candor, and a one-team mindset.

Privacy policy and additional information

• By submitting your application, you agree to allow TRM Labs to process personal information per its Privacy Policy.
• Information is collected to evaluate candidacy for current and future roles.
• For roles where hiring cycles may span 24 to 36 months, personal information may be retained for up to 36 months from the application date.
• Candidates in the EEA, UK, or other applicable jurisdictions have rights to access, correct, or request deletion before the retention period ends.
• Use of AI tools during TRM interviews (including interview assistants and real-time coaching tools) is not permitted without prior approval. TRM uses internal note-taking tools to keep the experience consistent and confidential.
• Reasonable accommodations for applicants with disabilities are available upon request via a form.

Recruitment agencies

• TRM Labs does not accept unsolicited agency resumes; do not forward resumes to TRM employees.
• TRM Labs is not responsible for fees related to unsolicited resumes and will not pay fees to third-party agencies without a signed agreement.