Related skills
github actions python go llm openai📋 Description
- Build AI-native tooling and agentic workflows to speed engineering velocity.
- Design tools to reduce manual effort and raise software quality.
- Use LLMs, MCP patterns, and AI tooling to boost productivity.
- Architect multi-step agentic systems with guardrails.
- Embed AI in CI/CD and GitHub Actions for reliability.
- Collaborate with teams to turn friction into AI automation.
🎯 Requirements
- 4+ years of software engineering; 3+ years internal tooling; Python or Go.
- Experience with tools and pain points of software teams; firsthand friction.
- Hands-on with agentic/LLM systems in production; MCP patterns familiarity.
- Experience with LLM APIs (OpenAI/Anthropic) and tradeoffs.
- Experience with GitHub Actions/CI/CD; building workflows on code/PRs.
- Daily use of AI-assisted dev tools (Cursor, Copilot) as core to work.
🎁 Benefits
- Healthcare coverage
- Internet and cell phone reimbursement
- Learning and development stipend
- Travel to Mountain View HQ (possible)
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