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.
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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