Staff MLOps Engineer - LLMOps for Blockchain Intelligence
About the Role
We are seeking a Staff MLOps Engineer - LLMOps to join our team at TRM Labs, a blockchain intelligence company dedicated to building a safer world. In this remote role, you will be integral to developing and scaling the technical infrastructure for AI and ML systems, particularly focusing on Large Language Models (LLMs).
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 such as LangChain and MLflow.
- Drive AI reliability and governance, ensuring compliance and security in production environments.
- Enhance AI/ML model performance by ensuring data accuracy and reliability.
- Deploy infrastructure for offline and online evaluation of LLMs, including regression testing and cost monitoring.
Requirements
- Strong programming skills in Python and experience with scalable infrastructure.
- Proficiency in containerization and orchestration tools like Docker and Kubernetes.
- Experience with infrastructure-as-code tools such as Terraform.
- Familiarity with monitoring frameworks like Datadog and Prometheus.
- Understanding of ML Ops best practices, including model versioning and automated evaluation.
- Experience deploying and maintaining LLM workflows in production.
- Ability to balance infrastructure elegance with iterative delivery and measurable impact.
Nice to Have
- Experience with AI tools like Triton or BentoML.
- Knowledge of compliance and security best practices in AI.
- Experience in a fast-paced startup environment.
What We Offer
- Competitive salary range of $220,000 - $240,000 per year.
- Eligibility for TRM’s equity plan.
- Opportunity to work on impactful projects that protect civilization.
- Flexible remote work environment.
- Collaborative and innovative team culture.
- Rapid issue resolution and efficient knowledge transfer practices.
- Continuous learning and professional development opportunities.
- Work-life balance with a focus on high performance.
This Staff MLOps Engineer role at TRM Labs offers a unique opportunity to work on cutting-edge AI infrastructure projects in a remote setting, with a competitive salary and equity options.
Who Will Succeed Here
Proficient in deploying and managing scalable ML pipelines using Python and tools like MLflow and LangChain, with a strong emphasis on CI/CD workflows for LLMs.
Self-motivated and disciplined in a remote work environment, capable of managing time effectively while collaborating with cross-functional teams using tools like Docker and Kubernetes.
Deep understanding of infrastructure as code, specifically with Terraform, allowing for efficient deployment and management of cloud resources tailored for blockchain intelligence applications.
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