Staff Software Engineer, Agent Engineering

TRM Labs
Full-timeStaff
$200K - $275K/yr

AI Tools

AnthropicChatGPTLangChain

Tech Stack

PythonLangChainVector DatabasesLLMAgentic FrameworksRAG

Agent Workflow

Architect agentic frameworks supporting tool use, context retrieval, memory, and planning. Build modular agents automating investigative tasks for analysts in blockchain analytics and financial crime prevention.

About the Role

Staff Software Engineer, Agent Engineering - US Remote

Company: TRM Labs

TRM Labs seeks a Staff Software Engineer focused on agent engineering to build next-generation AI applications. The role emphasizes Large Language Models (LLMs) and agentic systems deployed with speed, safety, and scale across petabyte-scale pipelines.

Key Responsibilities

  • Architect robust agentic frameworks supporting tool use, context retrieval, memory, and planning
  • Build modular agents automating investigative tasks while augmenting analyst capabilities
  • Extend and scale LLM infrastructure including prompt engineering, RAG, and evaluation loops
  • Design safe, observable, auditable agent behaviors for high-sensitivity environments
  • Evaluate performance metrics including reasoning quality, latency, success rates, and hallucination
  • Foster high ownership, rapid experimentation, and ethical AI deployment culture

Required Qualifications

  • Strong backend/systems engineering background (Python preferred)
  • Hands-on experience building with LLMs, agents, and tooling frameworks
  • Comfort optimizing agentic pipelines and information flow
  • Thoughtful system design emphasizing safety, scalability, explainability
  • High product empathy focused on real user impact
  • Bias toward experimentation and rapid iteration

Nice-to-Have: Knowledge graphs, task orchestration, AI safety experience

Compensation: $200,000-$275,000 base (US) plus equity plan eligibility

Location: San Francisco office; 3+ days/week on-site required

TRM is a Series C company ($220M funding) providing blockchain analytics and AI for law enforcement, financial institutions, and crypto businesses. AI fluency is baseline expected.

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