TRM Labs14.02.26
AI SCORE 9.0

Senior MLOps Engineer - LLMOps for Blockchain Intelligence

$200K–$220K/year

About the Role

We are seeking a Senior MLOps Engineer - LLMOps to join our team at TRM Labs. In this remote role, you will play a pivotal part in building and scaling the technical infrastructure for AI/ML systems, particularly focusing on Large Language Models (LLMs). Your work will directly contribute to our mission of protecting civilization through innovative blockchain intelligence solutions.

What You'll Do

  • Build reusable CI/CD workflows for model training, evaluation, and deployment, integrating tools like Langfuse and GitHub Actions.
  • Automate model versioning, approval workflows, and compliance checks across environments.
  • Develop a modular and scalable AI infrastructure stack, including vector databases and observability tooling.
  • Collaborate with engineering and data science teams to embed AI models into real-time applications.
  • Continuously evaluate and integrate state-of-the-art AI tools, enhancing our capabilities in LLMOps.
  • Drive AI reliability and governance, ensuring compliance, security, and uptime.
  • Deploy infrastructure for offline and online evaluation of LLMs and agents.
  • Enable researchers to iterate quickly by providing sandboxes and reproducible environments.

Requirements

  • Strong programming skills in Python, with a focus on writing high-quality, maintainable software.
  • Experience with scalable infrastructure, including containerization (Docker, Kubernetes) and infrastructure-as-code (Terraform).
  • Familiarity with monitoring and logging frameworks such as Datadog and Prometheus.
  • Understanding of ML Ops best practices, including model versioning and automated evaluation.
  • Experience deploying and maintaining LLM and agentic workflows in production.
  • Demonstrated ownership and pragmatism in balancing infrastructure elegance with iterative delivery.

Nice to Have

  • Experience with LangChain, LlamaIndex, vLLM, MLflow, and BentoML.
  • Background in AI governance and compliance.
  • Familiarity with regression testing and cost monitoring for AI models.

What We Offer

  • Competitive salary range of $200,000 - $220,000 per year.
  • Eligibility to participate in TRM’s equity plan.
  • A fast-paced, high-impact work environment focused on solving critical challenges.
  • Opportunities for professional growth and development.
  • Remote work flexibility with a collaborative team culture.
Why This Job9.0 of 10

This Senior MLOps Engineer role at TRM Labs offers a unique opportunity to work on cutting-edge AI infrastructure while earning a competitive salary. Join a mission-driven team focused on protecting civilization through blockchain intelligence.

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