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TRM Labs

Blockchain analytics for financial crime

AI 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.
  • Thoughtful approach to system design, with attention to safety, scalability, and explainability.
  • Product empathy and consideration of how agents affect analyst users.
  • Bias toward experimentation and iteration.
  • High level of collaboration and interdependence, with communication, leadership, and teamwork skills.
  • Ability to operate with ambiguity, personal ownership, accountability, adaptability, and frequent cross-functional communication.
  • Applied AI fluency in accelerating repeatable workflows, structuring and solving problems, improving output quality, and increasing speed and leverage.

Responsibilities

  • Architect and implement a robust 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 large language model infrastructure, including OpenAI, Anthropic, and local models, as well as prompt engineering, retrieval-augmented generation, and evaluation loops.
  • Design safe, observable, and auditable agent behaviors to ensure reliability in high-sensitivity environments.
  • Evaluate performance across reasoning, latency, success rate, and hallucination metrics, and iterate based on user feedback and system telemetry.
  • Resolve critical on-site issues and share fixes and lessons with customer stakeholders and internal teams within 48 hours.
  • Anticipate 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 maintain team visibility and accelerate delivery.

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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