[All remote jobs](https://jobicy.com/jobs.md)[![TRM Labs logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/34aa038c-221.png)](https://jobicy.com/company/trm-labs.md)[TRM Labs](https://jobicy.com/company/trm-labs.md) # Senior AI Engineer (AI Automation) AI Summary TRM Labs is seeking a senior software engineer to build production-grade AI agents, automations, and internal applications for Product, Product Marketing, and Design teams. The role requires strong Python or TypeScript engineering, practical expertise with frontier models, MCP, retrieval, evaluations, and observability. This engineer will work directly with non-technical stakeholders, rapidly prototype solutions, and own their adoption and reliability in production. The environment is fully remote, async-first, highly autonomous, and intentionally fast-paced, with significant overlap required with US Central/Pacific working hours. Success depends on translating ambiguous business needs into reusable, maintained AI systems that deliver measurable leverage across teams.[Apply for this job](#job-application)[View company](https://jobicy.com/company/trm-labs.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md), [Canada](https://jobicy.com/job-region/canada.md), [Brazil](https://jobicy.com/job-region/brazil.md)SalaryUndisclosedDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceSeniorPublished8 Nov 2026Apply before8 Dec 2026Listing views59Application actions2Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. Opportunity details ## About this role. ### Build a Safer World. [TRM Labs](https://jobicy.com/company/trm-labs.md) provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM’s platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure. As a Senior AI Engineer, you will be the embedded AI automation engineer for Product, building the agents, automations, and apps that help product managers, product marketers, and designers move faster. You work directly with them, and with engineering, across the product lifecycle from early discovery through launch and adoption. You sit inside the teams, not behind a ticket queue. The impact you will have: * Move repetitive, manual work into agents and automations so Product, Product Marketing, and Design spend their time on judgment and customer work, not busywork. * Give teams direct access to customer insight and the data behind it through the tools you build, so they make better-informed decisions. * Ship agentic solutions teams actually adopt, so the same headcount operates at a scale it otherwise could not. * Build reusable, maintained components so each new build is faster than the last and no one rebuilds what already exists. * Turn a rough idea into a working prototype in hours and ship same-day production fixes to shared agents, driving faster speed to market across Product and Marketing. What we’re looking for: * Strong software engineering in Python or TypeScript. You ship production code, not just workflows wired together. * Very high AI fluency. You build with AI every day and build agentic solutions on current frontier models, including MCP, retrieval, evals, and observability. Show us something you built. * Experience taking requirements from non-engineers and finding the need behind the ask. * Judgment about where AI adds value and where it does not. * Experience building solutions that non-technical teams adopted and kept using. * Daily use of AI-assisted coding tools such as Claude Code or Cursor. * Senior scope: you own problems end to end, need little direction, and are comfortable with ambiguity. About the Team: * AI Automation Engineering is the engineering home for internal tooling and agents, embedded with Product, Product Marketing, and Design. * You stay 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 high-ownership and ambiguous by design. You set your own priorities and own problems end to end. * Globally distributed, fully remote, and async-first. Team Operating Rhythms: * Roughly a 6 hour overlap with 8:00am to 5:00pm PST. * Embedded side by side with the teams you serve, with a connection back to the AI Automation team and engineering. * Async-first communication through Slack and written documentation. Distributed, not distant. * No travel, no onsite, and no on-call. Required online and collaboration hours: * Schedule: Roughly a 6 hour overlap with 8:00am to 5:00pm CT. Learn about TRM Speed in this position: * A rough idea becomes a working prototype in hours, so the team reacts to something real instead of a description. * 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. ### Application Instructions If you’re interested in joining TRM, we encourage you to apply directly. Every application is reviewed by our Talent team. Before applying, review the job description carefully and highlight the experience and impact that best demonstrate the required qualifications. Please also provide thoughtful and accurate answers to the application questions, as these will be used to evaluate your skills and qualifications for the role. If you send your resume directly to someone at TRM, we can’t guarantee it will reach the appropriate hiring team. Applying directly is the best way to ensure your application will be considered. ### Interviewing with TRM Our process is designed to understand how you think, solve problems, and deliver impact, while allowing you to evaluate TRM. Most interview processes include a case study, an AI skills assessment, and a Leadership Principles interview. * Recruiter Intro: Qualifications, motivations, and alignment with the role. * Hiring Manager: Deep dive into your relevant experience, skills, and impact. * First Round: 1–2 interviews focused on the skills most critical to the role. * Final Round: Hands-on case study. This is usually a panel-style session where we go deeper into your craft, problem-solving, and alignment with TRM. * References: Former colleagues who can provide insight into your work and impact. * Offer: Congrats! Your recruiter will present the offer and compensation details. * Welcome to TRM: We’re excited to build a safer world with you! Your recruiter will share your specific interview plan and preparation guidance along the way. ### AI Fluency at TRM AI fluency is a baseline expectation at TRM. We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks. At TRM, AI fluency means you are among the top 10 percent of operators in your function in how you apply AI to: * Accelerate repeatable workflows * Structure and solve problems * Improve output quality * Increase speed and leverage You will be evaluated on applied AI fluency during the interview process. ### Life at TRM We are building a safer world. That promise shows up in how we work every day. TRM moves FAST. We are a high-velocity, high-ownership team that expects clarity, follow-through, and impact. People who thrive here are energized by hard problems, experimentation, and continuous feedback. If something takes months elsewhere, it will ship here in days. Our work sits at the intersection of AI, national security, and fighting crime. The problems are complex, the stakes are real, and the environment evolves quickly. The pace and intensity of the work reflect the importance of the mission. As a result, the way we operate requires a high level of ownership, adaptability, collaboration, and creative problem-solving. At TRM, you should expect: * Priorities and targets to change quickly * Operating with a high degree of ambiguity * A high level of personal ownership and accountability * Close collaboration across teams and functions * Frequent, high-touch communication * Creative problem-solving and out-of-the-box thinking * A pace that rewards urgency, adaptability, and outcomes This environment is energizing for people who enjoy building, solving hard problems, and making progress in situations that are not always fully defined. It also requires thriving in ambiguity, adjusting course as new information emerges, and maintaining focus and positivity in a fast-moving and intense environment. We also recognize that this style of operating is not for everyone. If you are primarily optimizing for predictability or a consistently balanced workload, we encourage you to use the interview process to pressure-test whether this environment is truly the right fit. We want teammates who thrive here, not just survive here. If you are excited by meaningful problems, motivated by ambitious goals, and energized by working alongside mission-driven colleagues, there is a good chance you will find TRM to be an exceptional place to grow and contribute. ### Leadership Principles We hire and grow against three leadership principles. They’re the standards for how we operate, treat each other, and make decisions. * Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment – test, ship, measure, and iterate quickly. * Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end‑to‑end, and invest in getting better everyday. * Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one‑team mindset — giving and receiving feedback to make the team stronger. ### Join our Mission At TRM, we care deeply about our craft. We are looking for individuals who want their work to matter, who experiment with speed and rigor, and who take pride in building a safer world for billions of people. If you’re excited by TRM’s mission but don’t check every box, we encourage you to apply — we hire for slope, judgment, and the will to learn fast. TRM is a Series C company with $220M in total funding, backed by Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore. ### Privacy Policy and Additional Information By submitting your application, you agree to allow TRM Labs to process your personal information in accordance with our [Privacy Policy](https://www.trmlabs.com/policies/privacy-policy). We collect the information you provide (such as your resume, work history, and contact details) solely for the purpose of evaluating your candidacy for current and future roles at TRM. Because our hiring cycles for certain positions may span 24 to 36 months, we retain your personal information for up to 36 months from the date of your application. After that period, your data is deleted unless a different retention period is required or permitted by law. If you are located in the European Economic Area, the United Kingdom, or another jurisdiction with applicable data protection laws, you have the right to access, correct, or request deletion of your personal data at any time before that period ends. To exercise any of these rights, contact us at [privacy@trmlabs.com](mailto:privacy@trmlabs.com). To notify TRM Labs that you believe this job posting is non-compliant, please submit a report through this [form](https://docs.google.com/forms/d/e/1FAIpQLSc6e8jRCl2cQwgIzXLpIGQXtwvMQh__TcokvO2toAAkT44A6Q/viewform?usp=dialog). No response will be provided to inquiries unrelated to job posting compliance. The use of AI tools of any kind (including but not limited to notetakers, interview assistants, and real-time coaching tools such as Otter.ai, Fireflies, Fathom, Cluey, or similar) during TRM interviews is not permitted without prior approval from TRM. TRM uses its own internal tools for note-taking to ensure a consistent and confidential experience for all candidates. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this [form](https://docs.google.com/forms/d/e/1FAIpQLSevmAzPxWOYm_7kMHb9lEJlX3tpdBeHvvvNWjsI_6xhUfnXjw/viewform?usp=dialog). ### Recruitment agencies TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement. Show more [Apply now >](https://jobicy.com/jobs/159726-senior-ai-engineer-ai-automation.md) > Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior, end-to-end engineering role requiring both deep AI implementation capability and strong product judgment. The expected same-day iteration cycle, ambiguous problem space, and responsibility for organizational adoption make it especially demanding. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$190,000US market range (per year)$160k–$230k0$253.00k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer base-pay range is disclosed. Estimated annual US-market compensation for a senior AI automation engineer with production agentic-AI, software engineering, and high-autonomy product-facing responsibilities is approximately $160,000–$230,000 USD, with a midpoint estimate of $190,000 USD; this is an AI estimate, not employer-provided compensation. ## Core skills Skills and capabilities most closely associated with this opportunity. [Python](https://jobicy.com/jobs?search_keywords=Python.md)[TypeScript](https://jobicy.com/jobs?search_keywords=TypeScript.md)[AI agent development](https://jobicy.com/jobs?search_keywords=AI%20agent%20development.md)[Model Context Protocol (MCP)](https://jobicy.com/jobs?search_keywords=Model%20Context%20Protocol%20MCP.md)[Retrieval-augmented generation](https://jobicy.com/jobs?search_keywords=Retrieval-augmented%20generation.md)[LLM evaluation](https://jobicy.com/jobs?search_keywords=LLM%20evaluation.md)[AI observability](https://jobicy.com/jobs?search_keywords=AI%20observability.md)[Workflow automation](https://jobicy.com/jobs?search_keywords=Workflow%20automation.md)[Production software engineering](https://jobicy.com/jobs?search_keywords=Production%20software%20engineering.md)[Product discovery](https://jobicy.com/jobs?search_keywords=Product%20discovery.md)[Rapid prototyping](https://jobicy.com/jobs?search_keywords=Rapid%20prototyping.md)[Stakeholder management](https://jobicy.com/jobs?search_keywords=Stakeholder%20management.md)[Technical documentation](https://jobicy.com/jobs?search_keywords=Technical%20documentation.md)[Code review](https://jobicy.com/jobs?search_keywords=Code%20review.md) Sample interview questionsDescribe an AI agent or automation you took from an ambiguous request to production adoption.I would explain how I identified the underlying user problem, defined a small measurable workflow, built a prototype, tested it with users, and iterated based on observed usage. I would also cover reliability measures such as logging, evaluation cases, permissions, fallbacks, and ownership after launch. How would you decide whether a Product team request should use an LLM agent, a deterministic workflow, or no automation? I would first map the task's inputs, risk, repeatability, decision boundaries, and expected value. I would prefer deterministic software for stable rules, use LLMs where interpretation or synthesis adds clear value, and avoid automation when errors are costly or the workflow is too infrequent to justify maintenance. How would you evaluate the quality of a retrieval-based internal knowledge assistant? I would define representative user tasks and build an evaluation set with expected evidence and acceptable answers. I would measure retrieval relevance, grounding, answer correctness, latency, failure patterns, and user completion outcomes, then continuously add real failure cases to the test suite. Tell us how you would build trust with non-technical stakeholders who are hesitant to use an AI automation. I would involve them early, demonstrate the solution on realistic work, clearly communicate its limits, and provide an easy feedback path. I would launch with a narrow, low-risk use case and share evidence of time saved, quality improvements, and how human review remains available when needed. How do you balance same-day delivery expectations with production engineering standards? I would reduce scope rather than skip essential safeguards. A small release can still include version control, clear ownership, basic tests, monitoring, access controls, rollback capability, and documented limitations; I would then schedule hardening based on usage and risk. Next step ## Apply now. Follow the employer’s application method and review Jobicy’s safety guidance before sharing personal information. 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