AI Agent Engineer

Build a Safer World. 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 Engineering Team is chartered with enabling next-generation AI applications , with a special focus on Large Language Models (LLMs) and agentic systems . Our mission is to build robust pipelines, high-performance infrastructure, and operational tooling that allow AI systems to be deployed with speed, safety, and scale . We manage petabyte-scale pipelines, serve models with millisecond-level latency, and provide the observability and governance needed to make AI production-ready. We’re also deeply involved in evaluating and integrating cutting-edge tools in the LLM and agent space — including open-source stacks, vector databases, evaluation frameworks, and orchestration tools that unlock TRM’s ability to innovate faster than the market. Please note: this role is based in San Francisco, CA. The impact you will have: Architect and implement a robust agentic framework that supports tool use, context retrieval, memory, and planning Build intelligent, modular agents that automate investigative tasks and augment analyst decision-making Extend and scale our LLM infrastructure (e.g. OpenAI, Anthropic, local models), including prompt engineering, RAG, and evaluation loops Design safe, observable, and auditable agent behaviors — ensuring reliability in high-sensitivity environments Evaluate performance across metrics like reasoning, latency, success rate, and hallucination, and iterate based on user feedback and system telemetry Contribute to a culture of high ownership, rapid experimentation, and ethical AI deployment What we’re looking for: Strong engineering background with deep experience in backend or systems work (Python preferred) Hands-on experience building with LLMs, agents, and tooling frameworks (LangChain, semantic caches, vector DBs, etc.) Comfort working with agentic pipelines and optimizing information flow into AI systems Thoughtful approach to system design, with an eye for safety, scalability, and explainability High product empathy - you care about how agents impact real users (analysts) and optimize accordingly Bias toward experimentation and iteration - you’re excited to try, learn, and ship fast Previous experience with knowledge graphs, task orchestration, or AI safety a plus Strong preference for candidates who are already located in the San Francisco Bay area About the Team: The AI Engineering team operates with a high level of collaboration and interdependence, fostering an inclusive culture where connections extend beyond work. We value diverse personalities and seek someone who is both results-driven and sociable, with strong communication, leadership, and teamwork skills, along with a positive, solutions-oriented mindset. Learn about TRM Speed in this position: Rapid Issue Resolution. TRM Engineers identify and resolve critical onsite issues in minutes to hours, not weeks. We create virtual war rooms, implement fixes, and share lessons with both customer stakeholders and internal teams within 48 hours. Navigating Bureaucracy. We anticipate and address procedural hurdles, build trust with key stakeholders, and find alternative pathways to approvals. This keeps projects moving even in complex environments. Efficient Knowledge Transfer. Engineers document and share updates in real time, ensuring the entire team—onsite and remote—has full visibility into plans, blockers, and resolutions. Knowledge sh ... (truncated, view full listing at source)