AI Agent Engineer — Equity Eligible, Scalable LLMs

TRM Labs; Northern (KY); Hybrid; USD 200,000 - 275,000; Full time

Benefits offered by this job

Equity plan

Job summary

TRM Labs is seeking engineers to advance a safer world by building robust agentic frameworks and scalable LLM infrastructure. You will work on tool-use, memory, planning, and evaluation loops that empower analysts in high-sensitivity environments.

Ideal candidates bring backend excellence, hands-on LLM experience, and a curiosity-driven mindset to experiment, iterate, and ship fast within a distributed-first team. Equity and competitive base salary accompany this role.

Qualifications

• Strong engineering background with deep experience in backend or systems work (Python preferred).
• Hands-on experience building with LLMs, agents, and tooling frameworks (LangChain, semantic caches, vector DBs).
• Comfort working with agentic pipelines and optimizing information flow into AI systems.

Responsibilities

• Architect and implement a robust agentic framework that supports tool use, context retrieval, memory, and planning.
• Build intelligent, modular agents that automate investigative tasks and augment analyst decision-making.
• Extend and scale our LLM infrastructure (e.g. OpenAI, Anthropic, local models), including prompt engineering, RAG, and evaluation loops.
• Design safe, observable, and auditable agent behaviors — ensuring reliability in high-sensitivity environments.
• Evaluate performance across metrics like reasoning, latency, success rate, and hallucination, and iterate based on user feedback and system telemetry.

Skills

Backend engineering

Python

LLM tooling

Agent frameworks

Performance optimization

Tools

LangChain

vector DBs

semantic caches

Job description

TRM Labs is seeking engineers to advance a safer world by building robust agentic frameworks and scalable LLM infrastructure. You will work on tool-use, memory, planning, and evaluation loops that empower analysts in high-sensitivity environments.

Ideal candidates bring backend excellence, hands-on LLM experience, and a curiosity-driven mindset to experiment, iterate, and ship fast within a distributed-first team. Equity and competitive base salary accompany this role.