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TRM Labs

Blockchain analytics for financial crime

Agent Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • Strong engineering background with deep experience in backend or systems work; Python is preferred.
  • Hands-on experience building with large language models, agents, and tooling frameworks such as LangChain, semantic caches, and vector databases.
  • Comfort working with agentic pipelines and optimizing information flow into AI systems.
  • Ability to design systems with attention to safety, scalability, and explainability.
  • Product empathy, with a focus on how agents affect analyst users and on optimizing the user experience.
  • Ability and willingness to experiment, learn, and ship quickly.
  • Strong communication, leadership, and teamwork skills, along with a positive, solutions-oriented mindset.
  • Ability to apply AI to accelerate repeatable workflows, structure and solve problems, improve output quality, and increase speed and leverage.

Responsibilities

  • Architect and implement an agentic framework supporting tool use, context retrieval, memory, and planning.
  • Build intelligent, modular agents that automate investigative tasks and augment analyst decision-making.
  • Extend and scale LLM infrastructure, including OpenAI, Anthropic, and local models, prompt engineering, retrieval-augmented generation, and evaluation loops.
  • Design safe, observable, and auditable agent behaviors to ensure reliability in high-sensitivity environments.
  • Evaluate performance using metrics such as reasoning, latency, success rate, and hallucination, and iterate based on user feedback and system telemetry.
  • Identify and resolve critical onsite issues, implement fixes, and share lessons with customer stakeholders and internal teams within 48 hours.
  • Anticipate and address procedural hurdles, build trust with stakeholders, and find alternative pathways to approvals.
  • Document and share updates in real time, and participate in knowledge-sharing sessions to provide visibility into plans, blockers, and resolutions.

Desired Qualifications

  • Previous experience with knowledge graphs, task orchestration, or AI safety.

About the Company

TRM Labs

Blockchain analytics for financial crime

TRM Labs provides blockchain intelligence tools for financial institutions, crypto businesses, and government agencies to detect and investigate crypto-related financial crime and fraud. It analyzes blockchain activity using data engineering, data science, and threat intelligence to surface risk signals, enable investigations, and support compliance workflows. Its products combine on-chain and off-chain data, risk scoring, and case management through subscription services and customized solutions. Compared to others, TRM Labs serves a diverse client base (banks, exchanges, regulators) and emphasizes end-to-end investigative capabilities and tailored risk insights rather than generic analytics. The company’s goal is to improve the security and integrity of the global financial system by reducing illicit activity in the crypto space.

Company size
201-500
Company stage
Series C
Total funding
$220M
Headquarters
San Francisco, CA
Founded
2018

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