AI Agent Engineer
TRM Labs
Job Overview
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Job Description
Overview
TRM Labs provides blockchain analytics and AI solutions to help law enforcement, national security agencies, financial institutions, and cryptocurrency businesses detect, investigate, and disrupt crypto-related fraud and financial crime. The AI Agent Engineer role is central to building next-generation AI applications focusing on Large Language Models (LLMs) and agentic systems.
Key Responsibilities
- Architect and implement a robust agentic framework supporting tool use, context retrieval, memory, and planning.
- Build modular agents to automate investigative tasks and augment analyst decision-making.
- Extend and scale LLM infrastructure including prompt engineering, RAG, and evaluation loops.
- Design safe, observable, and auditable agent behaviors ensuring reliability.
- Evaluate performance metrics such as reasoning, latency, success rate, and iterate based on feedback.
- Contribute to a culture of high ownership, rapid experimentation, and ethical AI deployment.
What We’re Looking For
Candidates should have a strong engineering background, hands-on experience with LLMs, agent frameworks (e.g. LangChain, vector DBs), and a thoughtful approach to system design balancing safety and scalability. Experience with knowledge graphs, task orchestration, and AI safety is a plus. Preference is given to candidates based in the San Francisco Bay Area.
Team & Culture
The AI Engineering Team at TRM Labs is collaborative and driven, emphasizing rapid problem-solving, knowledge sharing, and high product empathy. The role involves quick issue resolution, navigating complex environments, and efficient knowledge transfer.
Engineering Levels
The role can align with Engineer, Senior Engineer, or Staff Engineer levels depending on experience, with clear expectations of mentorship, system design, and cross-team collaboration.
Compensation
The estimated base salary range is $215,000 - $230,000, with additional equity participation possibilities.
Life at TRM
TRM Labs operates at a high-velocity pace, valuing impact over bureaucracy. The work is dynamic and high-stakes, ideal for individuals who excel under rapid iteration and high ownership environments.
Key Skills/Competency
- Python
- LLM
- Agent Framework
- Systems Architecture
- Backend Engineering
- Safety
- Observability
- Prompt Engineering
- Scalability
- Ethical AI
How to Get Hired at TRM Labs
- Customize Your Resume: Highlight backend, Python, and LLM experience.
- Research TRM Labs: Understand their blockchain and AI solutions.
- Showcase Technical Skills: Demonstrate agentic system development.
- Prepare for Behavioral Questions: Emphasize collaboration and rapid iteration.
- Network and Follow Up: Engage with hiring managers on LinkedIn.
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