Senior MLOps Engineer, LLMOps

📋 Description

• Build reusable CI/CD workflows for model training, eval, and deployment
• Automate model versioning, approvals, and compliance checks
• Build modular AI infra: vector DBs, feature stores, registries
• Embed AI models and agents in real-time apps
• Evaluate and integrate tools like LangChain, vLLM, MLflow

🎯 Requirements

• Python: write high-quality, maintainable software
• Containerization and orchestration (Docker, Kubernetes)
• Infrastructure-as-code and deployment (Terraform, CI/CD)
• Monitoring/logging (Datadog, Prometheus, OpenTelemetry)
• ML Ops: versioning, drift detection, automated eval
• Scalable serving infra (vLLM, Triton, BentoML)

🎁 Benefits

• Remote-first, distributed team with global hubs
• Equity and career growth opportunities
• High ownership, fast-paced, impact-driven culture
• Mentorship and learning in AI/ML infra
• Cross-functional collaboration across teams
• Flexible work style and autonomy