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About the roleTRM Labs provides blockchain analytics and AI solutions to help law enforcement and national security agencies, financial institutions, and cryptocurrency businesses detect, investigate, and disrupt crypto-related fraud and financial crime. TRM’s blockchain intelligence and AI platforms include solutions to trace the source and destination of funds, identify illicit activity, build cases, and construct an operating picture of threats.The AI & Automation team at TRM designs and builds AI-powered applications and agentic solutions to help internal teams operate at scale. The team partners directly with business leaders to identify high-impact opportunities, then design, build, and own end-to-end solutions that meaningfully move key business metrics.We are looking for a Senior AI Engineer (AI Automation) who is excited to work hands-on with modern AI technologies, build custom internal tools, and operate with a high degree of ownership. You will stay deeply technical while shaping what gets built.As a member of the AI & Automation team, you will embed with business teams (e.g., Intelligence, R&D, Operations, Talent, Finance, Legal, R&D), identify critical challenges, and design AI-enabled solutions that drive measurable outcomes. You’ll own systems end-to-end—from ideation and architecture through delivery, iteration, and long-term maintenance.The impact you’ll have here:Design, build, and own full-stack, AI-powered internal applications, including backend services, APIs, data storage, and user-facing interfaces.Develop custom agentic solutions leveraging state-of-the-art AI models (e.g., OpenAI, Anthropic, Gemini) to automate workflows, augment decision-making, and scale business processes.Embed within internal teams to deeply understand their goals, constraints, and key metrics, then translate those needs into technical solutions with clear success criteria.Own projects end-to-end, including technical design, architecture decisions, scoping, delivery, iteration, and ongoing support.Collaborate with non-technical stakeholders to expand their understanding of what’s possible with AI and help shape more ambitious solutions.Build reliable, scalable systems used across the organization and touching critical parts of TRM’s operations.Continuously evaluate impact, iterating on solutions quarter-over-quarter based on measurable business outcomes.Contribute to a fast-moving, high-ownership engineering culture that values quality, velocity, and real-world impact.What we’re looking for:6+ years full-stack software engineering experience building scalable web applications, services, and APIs.Proficiency in JavaScript/TypeScript and/or Python, and comfort working across the stack including frontend development (React or similar frameworks).Experience building backend systems, working with various datastores such as (Postgres/pgvector, Pinecone, Redis) and designing APIs.Demonstrated curiosity and hands-on experience with AI tools and applications—using modern AI models, agentic IDEs, or building AI-enabled workflows or prototypes.Experience building or experimenting with custom developed agentic systems, workflow orchestration tools (n8n), or agentic browser automation.A high degree of ownership and initiative, with the ability to operate independently in ambiguous problem spaces.Excellent communication skills, including the ability to explain complex technical concepts to both technical and non-technical audiences.Experience collaborating cross-functionally and building trust with stakeholders at all levels of the organization.Bonus:Direct experience integrating automated AI evaluation/testing/observability suites to continuously test model effectiveness leveraging platforms such as DeepEval, Langfuse/LangSmith or similar.About the TeamThe team operates on a weekly sprint schedule. Individuals lead projects as technical anchors and are given opportunities to grow and take ownership according to their level and goals.The team’s culture is built on psychological safety: building rapport and trust-based relationships, holding each other accountable to a high bar, collaborating extensively, and having lots of fun.The team’s timezone is a mix of EST and PST with at least 6 hours of overlap with PST (8 am to 2 pm PST).On-Call: On-call rotation is specific to internal tools. The internal tools engineer triages customer support requests from specific Slack channels pertaining to internal tools.Life at TRMTRM is a high velocity, high ownership team that expects clarity, follow-through, and impact. People thrive through hard problems, experimentation, and continuous feedback.Expect priorities and targets to change quickly, work that requires operating with high ambiguity, high personal ownership and accountability, close cross-team collaboration, frequent high-touch communication, and creative problem solving.AI Fluency at TRMAI fluency is a baseline expectation at TRM. Every team member is expected to use AI to accelerate and reimagine their craft.AI fluency means you apply AI to accelerate repeatable workflows, structure and solve problems, improve output quality, and increase speed and leverage. You will be evaluated on applied AI fluency during the interview process.Leadership PrinciplesImpact-Oriented Trailblazer: Put customers first and move with speed, focus, and adaptability. Treat every plan like an experiment—test, ship, measure, and iterate quickly.Master Craftsperson: Balance speed with high standards, own outcomes end-to-end, and invest in getting better every day.Inspiring Colleague: Add clarity and energy, bring humility and candor, and use a one-team mindset with giving/receiving feedback to make the team stronger.Join our MissionTRM seeks individuals who want their work to matter and 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, they encourage applying.TRM is a Series C company with $220M in total funding, headquartered in San Francisco, and operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore.
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