Design how agents think: prompts, reasoning chains, tool calls, and architecture
Build production infra: MCP servers, scaffolding, context harnesses, and a Skills Marketplace
Redesign PDLC for agentic AI workflows: design through monitoring
Own evaluation infra: pipelines, benchmarks, quality gates
Build reusable libraries and templates for AI integration
Production-grade tooling that teams rely on

🎯 Requirements

4+ years of full-time software engineering; at least 2 years building tooling/platforms
Bachelor’s, Master’s, or PhD in CS/CE or related field, or equivalent experience
Hands-on with LLM integration: prompt engineering, RAG pipelines, tool calling, agent architectures
Proficiency across the stack
Experience with MCP, LangChain, or comparable orchestration frameworks
Experience with open source LLM models

🎁 Benefits

Hybrid role with in-office 2 days/week in Mountain View
Equity and comprehensive benefits
Growth opportunities in AI-native engineering

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