8 months ago
Base Salary
$200k - $275k/yr
Responsibilities
- Architect and implement an agentic framework supporting tool use, context retrieval, memory, and planning.
- Build modular intelligent agents that automate investigative tasks and support analyst decision-making.
- Extend and scale LLM infrastructure, including prompt engineering, RAG, and evaluation loops.
- Design safe, observable, auditable, reliable, and explainable agent behaviors.
- Evaluate reasoning, latency, success rate, and hallucination performance and iterate using user feedback and system telemetry.
- Drive technical execution across projects affecting multiple teams, set technical direction, mentor engineers, and uphold operational quality.
- Resolve critical issues quickly, communicate status clearly, and share knowledge across onsite and remote teams.
Requirements
- Deep backend or systems engineering experience, with Python preferred.
- Hands-on experience building with LLMs, agents, and tooling frameworks such as LangChain, semantic caches, and vector databases.
- Experience working with agentic pipelines and optimizing information flow into AI systems.
- Strong system design judgment focused on safety, scalability, reliability, and explainability.
- Product empathy and the ability to optimize agent behavior for real users and analysts.
- Strong communication, leadership, collaboration, and teamwork skills in a fast-moving environment.
- Experience with knowledge graphs, task orchestration, or AI safety is a plus.
Benefits
- US-remote role at a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore.
- Potential eligibility to participate in TRM’s equity plan.
- Inclusive, collaborative culture with mentorship, knowledge sharing, and opportunities to work on mission-driven AI systems.
- Interview process includes recruiter, hiring manager, technical, case study or AI skills assessment, leadership principles, and reference stages.
Tech Stack
Categories
About TRM Labs
TRM Labs builds AI-powered blockchain intelligence and investigation software for government agencies and financial institutions to detect, trace, and disrupt crypto‑related crime. Its platform supports AML, sanctions, fraud, and threat‑intelligence use cases, combining data analytics with tools for case building and transaction monitoring. Founded in 2018 and headquartered in San Francisco, the privately held company serves customers worldwide across public‑ and private‑sector markets.