AI Agent Engineer, TRM Labs
$215-230k
Additionally, this role may be eligible to participate in TRM’s equity plan
Blockchain investigations & risk management
Be an early applicant
Blockchain investigations & risk management
201-500 employees
Be an early applicant
$215-230k
Additionally, this role may be eligible to participate in TRM’s equity plan
201-500 employees
Company mission
To build a safer financial system for billions of people.
Role
Who you are
- 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
- Previous experience with knowledge graphs, task orchestration, or AI safety a plus
- If you’re excited by TRM’s mission but don’t check every box, apply anyway. We hire for slope, judgment, and the will to learn fast
What the job involves
- 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
- 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
- The AI Engineering team operates with a high level of collaboration and interdependence, fostering an inclusive culture where connections extend beyond work
- We value diverse personalities and seek someone who is both results-driven and sociable, with strong communication, leadership, and teamwork skills, along with a positive, solutions-oriented mindset
- As a globally distributed team, members may observe different timezones. However, most of the team will overlap between the hours of 7am-12pm PST for meetings and collaboration
- All team members, regardless of location must have at least 4 hour overlap with PST business hours
- About TRM's Engineering Levels:
- Engineer: Responsible for helping to define project milestones and executing small decision decisions independently with the appropriate tradeoffs between simplicity, readability, and performance
- Provides mentorship to junior engineers, and enhances operational excellence through tech debt reduction and knowledge sharing
- Senior Engineer: Successfully designs and documents system improvements and features for an OKR/project from the ground up
- Consistently delivers efficient and reusable systems, optimizes team throughput with appropriate tradeoffs, mentors team members, and enhances cross-team collaboration through documentation and knowledge sharing
- Staff Engineer: Drives scoping and execution of one or more OKRs/projects that impact multiple teams. Partners with stakeholders to set the team vision and technical roadmaps for one or more products
- Is a role model and mentor to the entire engineering organization
- Ensures system health and quality with operational reviews, testing strategies, and monitoring rigor
Our take
The crypto space has become more mainstream but it is also intensely volatile and poorly regulated, with a high degree of anonymity afforded to its users. As such it has become a major source of financial fraud with $20 billion in crypto stolen in 2022 alone. TRM Lab exists to return trust to the blockchain, helping banks, government agencies and crypto companies detect and combat fraud with its blockchain intelligence solutions.
As the risk of blockchain fraud is only increasing, with the proceeds often being used for organized crime, there are a number of companies working in this space. TRM stands out with the breadth of its crypto asset coverage and the strength of its cross-chain analytics. It has partnered with the FBI and Europol to aid its investigations, and is also used by major crypto companies MoonPay and Binance.
The company has grown its revenue by almost 500% year on year since its founding in 2018, and has raised a significant amount of capital. With the funding its secured, its further developing its product and hiring additional talent. And as businesses and government agencies increasingly come to grips with fraud in the crypto space, TRM is well poised to continue its rapid growth.
Steph
Company Specialist at Welcome to the Jungle
Insights
42% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Nov 2022
$70m
SERIES B
Dec 2021
$60m
SERIES B
Total funding: $150.1m
Company benefits
- DIstributed, not distant
- Competitive compensation package
- Paid time off: 25 days of vacation and competitive holistic paid time off plans
- Parental leave & family planning: 18 weeks of paid parental leave (if employed for at least 180 days unless the home state or country required less tenure). For select eligible regions, we also offer fertility treatments via the Carrot platform
- Health coverage: Premium coverage for medical, dental, vision and life insurance
- Company retreats
- Career growth
Company HQ
SoMa, San Francisco, CA
Leadership
Esteban Castaño
(Co-Founder & CEO)Former Business Analyst at McKinsey & Company. Founded the Digital team at Generation, a high growth youth employment program, before launching TRM in 2018.
Rahul Raina
(Co-Founder & CTO)Former Senior Business Analyst at McKinsey & Company. Former Software Engineer at Amazon Web Services and Opendoor.
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