Senior Software Engineer, AI Automation

TRM Labs

1d•$200,000 - $220,000•Remote

About The Position

TRM Labs 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. This role sits at the intersection of intelligence analysts, back-end systems, and AI. Its mandate is to make TRM's intelligence collection meaningfully better with AI. You'll work directly alongside our intel analysts to understand how they collect and act on intelligence, then build the AI-powered products, tooling, and infrastructure that let them do it faster and at greater scale. We're looking for a senior engineer with genuine product sense, someone who can sit with a semi-technical analyst, see past the surface-level request, and identify the highest-impact, scalable thing to build. The failure mode we're explicitly hiring against is an engineer who rapidly ships a pile of narrow automations that pick at minor annoyances but don't move the needle. We want sticky, real products that advance the mission. This is a hands-on role for someone who wants to stay deeply technical while also shaping what gets built, not just how.

Requirements

6+ years full-stack software engineering experience building scalable web applications, services, and APIs
Strong product sense — the ability to zoom out, spot the highest-impact and most scalable solution, and ship it as something people actually keep using. This is the bar-raising skill for this role.
Proficiency in Python and/or JavaScript/TypeScript, with strong back-end and systems engineering skills.
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.
A high degree of ownership and initiative, with the ability to operate independently in ambiguous problem spaces
Strong communication and the ability to build trust with semi-technical stakeholders (our analysts) and explain technical trade-offs clearly.
Seniority, sharpness, drive, and product sense matter more than a specific profile.

Responsibilities

Embed directly with our intel analysts to deeply understand their goals, constraints, and workflows, then translate those into technical solutions with clear success criteria.
Identify the highest-leverage opportunities to improve intelligence collection — bringing a product lens to prioritization, not just an engineering one — and productize your work so it's adopted and durable.
Design, build, and own AI-powered internal applications end-to-end: back-end services, APIs, data storage, the back-end infrastructure they run on, and user-facing interfaces.
Develop custom agentic solutions leveraging state-of-the-art models (e.g., OpenAI, Anthropic, Gemini) to augment and scale intelligence workflows.
Own projects end-to-end — technical design, architecture, scoping, delivery, iteration, and ongoing support.
Build reliable, scalable systems on which analysts depend day to day.
Continuously evaluate impact and iterate based on real outcomes for the Intel team.