Staff Agent Engineer - US Remote

TRM Labs · Remote · United States ·
Fully remoteFull-timeSenior5+ years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Staff level role
  • Fully remote (US)
  • Python + LLMs
  • $200k-$275k base
  • Equity eligible

Join the AI Engineering Team at TRM Labs to develop next-generation applications focused on Large Language Models and agentic systems. You will build robust pipelines and operational tooling that allow AI systems to be deployed with speed, safety, and scale for public and private sector agencies.

What you'll do

  • Architect agentic frameworks supporting tool use, context retrieval, and planning
  • Build modular agents to automate investigative tasks and aid decision-making
  • Scale LLM infrastructure including prompt engineering and RAG evaluation 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 preference
  • Hands-on experience building with LLMs, agents, and tooling frameworks
  • Comfort optimizing information flow within agentic pipelines
  • Thoughtful approach to system design focusing on safety and scalability
  • High product empathy for analysts and end-user impact

Nice to have

  • Experience with knowledge graphs
  • Background in task orchestration
  • Prior work in AI safety

Stack

  • Python
  • LLMs
  • LangChain
  • Vector DBs
  • OpenAI
  • Anthropic

How you'll work

  • Fully remote within the United States
  • Distributed-first company culture
  • Fast-paced environment with high ownership

What you get

  • Base salary range $200,000 to $275,000
  • Eligibility for equity plan participation
  • Compensation adjusted for geography outside US

Hiring process

  • Recruiter introductory call
  • Hiring Manager deep dive interview
  • Two technical skill-focused interviews
  • Final round hands-on case study panel
  • Reference checks and offer presentation