Note: The job is a remote job and is open to candidates in USA. TRM Labs is a company that provides AI-powered intelligence solutions to help combat crime. They are seeking an AI Agent Engineer to architect and implement frameworks for intelligent agents, build and scale their LLM infrastructure, and ensure reliable AI behaviors in sensitive environments.
Responsibilities
- 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
Skills
- 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
Benefits
- Additionally, this role may be eligible to participate in TRM’s equity plan.
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