Назад
2 часа назад

Agent Engineer (AI)

200 000 - 275 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Английский
b2
Страна
US
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Описание вакансии

Agent Engineer

Company

TRM Labs

Conditions

1 day ago Salary: 200K - 275KUnited States Remote Full Time Ai Jobs by TRM Labs

Skills

Safety Knowledge Graph Rag Agent Evaluation Vector Database Langchain System Design Prompt Engineering Orchestration Observability Backend Llm Python Agent Orchestration Semantic Cache Task Orchestration Ai Safety

About the Role

You will design and implement agentic frameworks that support tool use, context retrieval, memory, and planning. You will build modular agents to automate investigative tasks and augment analyst decision-making. You will extend and scale LLM infrastructure, work on prompt engineering, RAG, and evaluation loops, and optimize pipelines for latency and reliability. You will design safe, observable, and auditable agent behaviors, measure performance across metrics like reasoning and hallucination, and iterate based on telemetry and user feedback.

Requirements

  • Strong engineering background with deep experience in backend or systems work (Python preferred)
  • Hands-on experience building with LLMs, agents, and tooling frameworks such as LangChain, semantic caches, and vector DBs
  • Comfort working with agentic pipelines and optimizing information flow into AI systems
  • Thoughtful system design approach with attention to safety, scalability, and explainability
  • High product empathy and concern for agent impact on end users
  • Bias toward experimentation and rapid iteration
  • Previous experience with knowledge graphs, task orchestration, or AI safety is a plus

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 LLM infrastructure including prompt engineering, RAG, and evaluation loops
  • Design safe, observable, and auditable agent behaviors to ensure reliability in high-sensitivity environments
  • Evaluate performance across metrics like reasoning, latency, success rate, and hallucination and iterate based on feedback and telemetry
  • Drive rapid experimentation and deliver production-ready AI systems

Benefits

  • Eligibility to participate in TRM's equity plan

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