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AI Agent Engineer

Job in Fresno, Fresno County, California, 93650, USA
Listing for: Crypto Pro Network
Full Time position
Listed on 2026-06-05
Job specializations:
  • Software Development
    AI Engineer, Software Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

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.

The impact you will have:
  • 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
What we’re looking for:
  • Strong engineering background with deep experience in backend or systems work (Python preferred)
  • Hands‑on experience building with LLMs, agents, and tooling frameworks (Lang Chain, 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
About the Team:

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

Learn about TRM Speed in this position:
  • Rapid Issue Resolution.TRM Engineers identify and resolve critical onsite issues in minutes to hours, not weeks. We create virtual war rooms, implement fixes, and share lessons with both customer stakeholders and internal teams within 48 hours.
  • Navigating Bureaucracy.We anticipate and address procedural hurdles, build trust with key stakeholders, and find alternative pathways to approvals. This keeps projects moving even in complex environments.
  • Efficient Knowledge Transfer.Engineers document and share updates in real time, ensuring the entire team—onsite and remote—has full visibility into plans, blockers, and resolutions. Knowledge sharing sessions and clear documentation reduce friction and accelerate delivery.
About TRM’s Engineering Levels:

Engineer:Responsible for helping to define project milestones and…

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