Agent Engineer - US Remote
TRM Labs · Remote · United States ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Fully remote (US)
- Python + LLMs
- Senior level role
- $200k-$270k base
- Equity eligible
Join the AI Engineering Team at TRM Labs to develop next-generation applications using Large Language Models and agentic systems. You will build robust pipelines and operational tooling that allow investigators to trace illicit activity and disrupt crime networks with speed and safety.
What you'll do
- Architect agentic frameworks supporting tool use, memory, and planning
- Build modular agents to automate investigative tasks for analysts
- Scale LLM infrastructure including prompt engineering and RAG loops
- Design observable and auditable agent behaviors for high-sensitivity environments
- Evaluate performance metrics like reasoning, latency, and hallucination rates
What you'll need
- Strong backend or systems engineering background with Python
- Hands-on experience building with LLMs and agent frameworks
- Experience with LangChain, semantic caches, or vector databases
- Comfort optimizing information flow in agentic pipelines
- Focus on system design safety, scalability, and explainability
Nice to have
- Previous experience with knowledge graphs
- Background in task orchestration
- Experience with AI safety protocols
Stack
- Python
- LLMs
- LangChain
- Vector DBs
- OpenAI
- Anthropic
How you'll work
- Fully remote position based in the US
- Distributed-first company culture
- High-velocity environment with rapid iteration
- Requires high ownership and adaptability to ambiguity
What you get
- Base salary range $200,000 to $270,000
- Eligibility for equity plan participation
- Compensation adjusted for geography outside US
Hiring process
- Recruiter intro call for qualifications check
- Hiring Manager interview on experience and impact
- First round focused on critical technical skills
- Final round panel with hands-on case study
- Reference checks with former colleagues
- Offer presentation and onboarding