Related skills
postgres kubernetes google cloud go llm📋 Description
- Own observability and lifecycle mgmt of AI features org-wide
- Build tools/infrastructure to develop, monitor, optimize LLM features
- Design closed-loop evaluation pipelines to validate prompt changes
- Develop metrics/dashboards to track LLM usage: cost, tokens, latency
- Tie user feedback to specific prompts and LLM calls
- Establish best practices for the full prompt lifecycle
🎯 Requirements
- 4+ years in backend/software dev with DevOps/ML Ops or SRE
- Proficient in at least one backend language (Go preferred)
- Experience with observability, metrics, monitoring systems
- Systems thinker: pipelines, lifecycles, closed loops; scalable infra
- Strong written/async communication; collaborate well across teams
- AI enthusiast; can turn data into actionable insights
🎁 Benefits
- Comprehensive medical, dental, and vision coverage for you and your family
- Mental health support and counseling services
- Retirement savings plans with employer matching
- Life and disability insurance coverage
- Generous paid vacation days and public holidays
- Generous budget to make your workspace your own
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