Staff MLOps Engineer, LLMOps

📋 Description

• Build reusable CI/CD workflows for model training, evaluation, and deployment.
• Automate model versioning, approvals, and compliance across environments.
• Build modular AI infra with vector databases, feature stores, and registries.
• Partner with engineering and data science to embed AI models into real-time apps.
• Continuously evaluate and integrate AI tools (LangChain, LlamaIndex, vLLM, MLflow, BentoML).
• Drive AI reliability and governance, ensuring compliance, security, and uptime.

🎯 Requirements

• Python, strong software engineering ability.
• Scalable infra: Docker, Kubernetes.
• IaC and deployment: Terraform, CI/CD pipelines.
• Monitoring/logging: Datadog, Prometheus, OpenTelemetry.
• ML Ops: model versioning, drift detection, automated evaluation.
• Deploy/maintain LLM and agent workflows in production.

🎁 Benefits

• Remote-friendly, distributed-first culture.
• Impactful work at AI, security, and crime-fighting.
• Collaborative, ownership-driven team environment.
• Growth opportunities with cutting-edge AI tooling.