Agent Engineer - US Remote
$200k - $270k • Remote • United States • FullTime
Posted 8mo ago
Job Location
United States
Tech Stack
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
AI Agent Engineer
About the job
TRM Labs is seeking an Agent Engineer to join their AI Engineering Team, focusing on next-generation AI applications, particularly Large Language Models (LLMs) and agentic systems. The team builds robust pipelines, high-performance infrastructure, and operational tooling for the rapid, safe, and scalable deployment of AI systems. This role involves managing petabyte-scale pipelines, serving models with low latency, and ensuring AI systems are production-ready through observability and governance. You will also evaluate and integrate cutting-edge LLM and agent technologies, including open-source stacks, vector databases, and evaluation frameworks, to accelerate innovation.
Responsibilities
- Architect and implement a robust agentic framework supporting tool use, context retrieval, memory, and planning.
- Build intelligent, modular agents to automate investigative tasks and augment analyst decision-making.
- Extend and scale LLM infrastructure, including prompt engineering, RAG, and evaluation loops.
- Design safe, observable, and auditable agent behaviors for high-sensitivity environments.
- Evaluate agent performance across metrics like reasoning, latency, success rate, and hallucination, iterating based on feedback and telemetry.
- Contribute to a culture of high ownership, rapid experimentation, and ethical AI deployment.
Requirements
- Strong engineering background with deep experience in backend or systems work (Python preferred).
- Hands-on experience building with LLMs, agents, and tooling frameworks (e.g., LangChain, semantic caches, vector DBs).
- Comfort working with agentic pipelines and optimizing information flow into AI systems.
- Thoughtful approach to system design, emphasizing safety, scalability, and explainability.
- High product empathy, focusing on how agents impact real users.
- Bias toward experimentation and iteration.
- Previous experience with knowledge graphs, task orchestration, or AI safety is a plus.
Benefits
- Equity plan participation
- US base salary range: $200,000 - $270,000