AI Agent Engineer
About The Position
TRM is a blockchain intelligence company that’s on a mission to build a safer world for billions of people. We’re a lean, high-impact team tackling some of the world’s most critical challenges, ranging from human trafficking and financial fraud to terrorist financing. We are builders who power governments, financial institutions, and crypto companies when the clock is running and the consequences are real. This is why every TRMer is a bet on our future and has the power to change our trajectory. The AI Engineering Team is chartered with enabling next-generation AI applications, with a special focus on Large Language Models (LLMs) and agentic systems. Our mission is to build robust pipelines, high-performance infrastructure, and operational tooling that allow AI systems to be deployed with speed, safety, and scale. We manage petabyte-scale pipelines, serve models with millisecond-level latency, and provide the observability and governance needed to make AI production-ready. We’re also deeply involved in evaluating and integrating cutting-edge tools in the LLM and agent space — including open-source stacks, vector databases, evaluation frameworks, and orchestration tools that unlock TRM’s ability to innovate faster than the market.
Requirements
- 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, etc.)
- Comfort working with agentic pipelines and optimizing information flow into AI systems
- Thoughtful approach to system design, with an eye for safety, scalability, and explainability
- High product empathy - you care about how agents impact real users (analysts) and optimize accordingly
- Bias toward experimentation and iteration - you’re excited to try, learn, and ship fast
Nice To Haves
- Previous experience with knowledge graphs, task orchestration, or AI safety a plus
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
- Contribute to a culture of high ownership, rapid experimentation, and ethical AI deployment
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
101-250 employees
