AI Agent Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and implement a robust agentic framework that enables tool utilization, context retrieval, memory management, and planning.

• Create intelligent, modular agents that automate investigative tasks and enhance analyst decision-making capabilities.

• Expand and scale our LLM infrastructure (e.g., OpenAI, Anthropic, local models), which includes prompt engineering, retrieval-augmented generation (RAG), and evaluation processes.

• Develop safe, observable, and auditable agent behaviors to ensure reliability in sensitive environments.

• Assess performance using metrics such as reasoning, latency, success rate, and hallucination, while iterating based on user feedback and system telemetry.

• Foster a culture of ownership, rapid experimentation, and responsible AI deployment.

⛳️ Requirements

• Solid engineering background with substantial experience in backend or systems development (Python preferred).

• Practical experience in building with LLMs, agents, and tooling frameworks (LangChain, semantic caches, vector databases, etc.).

• Comfortable working with agentic pipelines and enhancing information flow into AI systems.

• A thoughtful approach to system design, prioritizing safety, scalability, and explainability.

• Strong product empathy – you care deeply about how agents affect real users (analysts) and optimize accordingly.

• A bias towards experimentation and iteration – you are eager to try, learn, and deliver quickly.

• Previous experience with knowledge graphs, task orchestration, or AI safety is a plus.

🏝️ Benefits

• TRM may provide stock options.

• Competitive benefits and wellness programs vary by country.