TRM Labs
Software Engineer, Backend | Product Engineering - SF Only
About this role
TRM Labs seeks a pragmatic backend engineer to build scalable APIs and systems for an AI-powered intelligence platform serving public and private sector agencies. You'll work on complex problems bridging customer needs with technical solutions, maintaining public APIs, and supporting internal business units in a fast-paced, collaborative environment.
What you'll do
- Design and maintain public APIs as part of TRM's API product suite
- Build scalable backend systems and web applications using Node.js and related technologies
- Collaborate with cross-functional stakeholders to translate business vision into technical roadmaps
- Develop shared engineering services and functionalities to enable internal business units
- Participate in on-call rotation for internal tools and customer support triage
- Lead projects as a technical anchor while managing ambiguity and prioritizing effectively
What they're looking for
- Scalable system design and architecture
- Backend development (Node.js preferred but not required)
- Relational databases (PostgreSQL) and analytical databases
- API design and development
- Cross-functional collaboration and stakeholder communication
- Customer empathy and translating pain points to requirements
- Problem structuring and prioritization
- Technical and non-technical communication
Opens the application — the Jobs AI extension fills it for you. Set up autofill
Opens the official application on the employer’s site. No login required.
TRM Labs
TRM Labs builds AI-powered intelligence products designed to detect and disrupt financial crime through advanced machine learning and investigative tools. The company is hiring backend engineers, ML infrastructure engineers, AI research engineers, and AI agent engineers to develop scalable platform infrastructure, GPU-backed systems, model optimization capabilities, and LLM-based agentic applications.
- Website
- trmlabs.com
Likely interview questions
- Tell us about a time you designed an API that had to serve multiple customer personas—how did you balance their competing needs?
- Describe your experience with relational databases and how you've optimized queries or schema design for both transactional and analytical workloads.