Job Description
📋 Description Build reusable CI/CD workflows for model training, evaluation, and deployment — Langfuse, GitHub Actions Automate model versioning, approval workflows, and compliance checks Build modular AI infra stack — vector databases, feature stores, model registries, observability Partner with engineering and data science to embed AI models and agents into real-time applications and workflows Continuously evaluate and integrate state-of-the-art AI tools (LangChain, LlamaIndex, vLLM, MLflow, BentoML) Drive AI reliability and governance, ensuring compliance, security, and uptime 🎯 Requirements Python proficiency; maintainable software Strong background in scalable infrastructure: Docker, Kubernetes Infrastructure-as-code and deployment: Terraform, CI/CD pipelines Monitoring/logging: Datadog, Prometheus, OpenTelemetry ML Ops: versioning/rollback, automated evaluation, drift detection Serving infra for LLMs/agents: vLLM, Triton, BentoML Production workflows: cost/latency/performance monitoring; tracing; real-time data access 🎁 Benefits Distributed-first company with hubs worldwide High ownership, fast-paced, impact-driven culture Meaningful mission at AI, national security, crime-fighting Collaborative culture with cross-team mentorship Equity plan eligibility
