Senior AI Engineer
TRM Labs
Job Overview
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Job Description
About TRM Labs
TRM 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. TRM is trusted by leading agencies and businesses worldwide who rely on TRM to enable a safer, more secure world for all.
The AI & Automation team at TRM is responsible for designing and building AI-powered applications and agentic solutions that help our internal teams operate at scale. We partner directly with business leaders across the company 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 who is excited to work hands-on with modern AI technologies, build custom internal tools, and operate with a high degree of ownership. This role is ideal for engineers who want to stay deeply technical while also shaping what gets built, not just how it’s built.
As a member of the AI & Automation team, you will embed closely with business teams (e.g., Intelligence, R&D, Operations, Talent, Finance, Legal, R&D), identify their most critical challenges, and design AI-enabled solutions that drive measurable outcomes. You’ll own these systems end-to-end—from ideation and architecture through delivery, iteration, and long-term maintenance.
The Impact You'll Have
- Design, build, and own full-stack, AI-powered internal applications, including backend services, APIs, data storage, and user-facing interfaces.
- Develop custom agentic solutions that leverage 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 that are used across the organization and touch 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, with 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 Qualifications
- 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 Team
The team operates on a weekly sprint schedule. Individuals on the team are tasked to lead projects as technical anchors, and given a chance to grow and take ownership according to their level and goals. We work closely with our internal stakeholders to deliver impactful features to our internal customers and the company. The team’s culture is built on psychological safety wherein team members build rapport and trust-based relationships with teammates, hold each other accountable and to a high bar, collaborate extensively, and have lots of fun along the way. 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: We have an on-call rotation that is specific to internal tools. In this role, the internal tools engineer is responsible for triaging customer support requests from specific Slack channels pertaining to internal tools.
Life at TRM & AI Fluency
TRM runs fast, expecting high velocity, high ownership, and impact. AI fluency is a baseline expectation; every team member is expected to use AI to accelerate and reimagine their craft, aiming to be in the top 10 percent of operators in applying AI to workflows, problem-solving, quality, and speed. You will be evaluated on applied AI fluency during the interview process.
Leadership Principles
- Impact-Oriented Trailblazer: Put customers first, move with speed, focus, and adaptability, treating every plan like an experiment.
- Master Craftsperson: Care deeply about craft, balance speed with high standards, own outcomes end-to-end, and invest in continuous improvement.
- Inspiring Colleague: Add clarity and energy, bring humility, candor, and a one-team mindset, giving and receiving feedback.
Key skills/competency
- AI Automation
- Full-stack Development
- Backend Systems
- API Design
- Agentic Solutions
- Machine Learning Models
- Data Storage (Postgres, Pinecone, Redis)
- JavaScript/TypeScript
- Python
- React.js
How to Get Hired at TRM Labs
- Research TRM Labs's culture: Study their mission of building a safer world, values like 'Impact-Oriented Trailblazer,' 'Master Craftsperson,' and 'Inspiring Colleague,' and their focus on AI fluency.
- Customize your resume: Highlight your full-stack AI engineering experience, agentic system development, and proficiency in relevant tech like Python, JavaScript, and modern AI models, aligning with TRM Labs's needs.
- Showcase AI fluency: Prepare to demonstrate how you leverage AI to accelerate workflows, solve problems, and improve output quality, as this is a core expectation at TRM Labs.
- Prepare for technical depth: Be ready to discuss experience with scalable web applications, backend systems (Postgres, Pinecone, Redis), API design, and end-to-end project ownership in AI automation.
- Practice stakeholder collaboration: Emphasize your ability to translate business challenges into technical AI solutions and communicate complex concepts effectively to both technical and non-technical audiences.
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