Senior AI DevOps Engineer
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This is a hands-on role for someone who can take AI solutions from idea to production, build the infrastructure around them, and create the observability needed to understand and improve how they behave in the real world.
The project duration is 6 months
- 5+ years of experience in DevOps, Platform Engineering, SRE, or similar infrastructure-focused roles
- Strong coding experience in Python, Go is an advantage
- Hands-on experience building or operating production LLM applications and agentic workflows
- Experience with LangGraph, LangChain, Supervisor, or similar frameworks
- Experience building AI SDLC platforms or harnesses that support the full lifecycle of AI-assisted software delivery
- Experience with AI observability and evaluation, preferably Langfuse, OpenTelemetry, and LLM-as-a-judge approaches
- Experience with AWS, Kubernetes, Helm, and GitOps CI/CD tools such as GitHub Actions and ArgoCD
- Experience building internal developer platforms, DevEx tooling, or engineering automation
- Strong ownership, problem-solving skills, and ability to lead cross-team initiatives
Nice to have:
- Experience with RAG, knowledge bases, MCP, tool calling, and AI guardrails
- Experience with Terraform/OpenTofu, Crossplane, and the wider Argo ecosystem
- Experience with Datadog, Prometheus, service mesh technologies, or large-scale distributed systems
