Remote Agent AI Engineer (LLM & Tools)

TRM Labs; Northern (KY); Hybrid; USD 200,000 - 250,000; Full time

Benefits offered by this job

Equity plan

Job summary

TRM Labs is building a safer world through AI-powered intelligence solutions for public and private sector investigators. You will work on a robust agentic framework, scalable LLM infrastructure, and safe, observable agent behaviors to support analysts and decision-making.

The AI Engineering team emphasizes rapid experimentation, ownership, and collaboration. This role offers a base salary in a high-demand US market with equity eligibility and a distributed-first environment.

Qualifications

• Strong engineering background with backend or systems experience (Python preferred).
• Hands-on experience with LLMs, agents, and tooling frameworks (LangChain, vector DBs, etc.).
• Comfort with agentic pipelines and optimizing information flow into AI systems.
• Thoughtful system design with focus on safety, scalability, and explainability.
• High product empathy—design for analyst-facing tools.

Responsibilities

• Architect and implement an agentic framework supporting tool use, retrieval, memory, and planning.
• Build modular agents to automate investigative tasks and augment analysts.
• Scale LLM infrastructure, including prompt engineering, RAG, evaluation loops.
• Design observable, auditable agent behaviors for high-sensitivity environments.
• Evaluate performance by metrics like reasoning, latency, and hallucinations; iterate from feedback.
• Foster a culture of ownership, rapid experimentation, and ethical AI deployment.

Skills

Backend or systems engineering

LLMs and agent tooling

Agentic pipelines design

System safety, scalability & explainab

Product empathy for analysts

Experimentation & iteration

Knowledge graphs / AI safety

Tools

LangChain

Vector databases

Semantic caches

Job description

TRM Labs is building a safer world through AI-powered intelligence solutions for public and private sector investigators. You will work on a robust agentic framework, scalable LLM infrastructure, and safe, observable agent behaviors to support analysts and decision-making.

The AI Engineering team emphasizes rapid experimentation, ownership, and collaboration. This role offers a base salary in a high-demand US market with equity eligibility and a distributed-first environment.