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AI-DNA Software Engineering Superbuilder
Skills
Front-End DevelopmentCommandContextDefaultsEnhanced Data Rates For GSM EvolutionMicrosoft SurfaceProduct Leadership
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- AI-DNA mindset with strong leverage-first thinking and autonomous use of agents
- Strong product taste and ability to solve problems without a detailed spec
- Bottleneck-removal focus with experience building skills rules context harnesses and evals
- Frontier tool fluency with power-user level experience across agentic coding tools
- Sharp current model judgment across leading frontier models and providers
- Ownership and proactiveness with no babysitting required
- 5+ years of full-stack software engineering on web-based systems
- Production AI and LLM integration experience using APIs prompt engineering agents or automation
- Solid AWS and CI/CD experience to own product delivery end to end
- Understanding and prior application of Model Context Protocol MCP
- Technical leadership experience making hard architectural calls and directing engineers
- Enterprise-grade software experience with defensive coding validation security resilience and automated evals
Nice to have
- Product taste
- Mission driven
- Proactive
- Quality obsessed
- Tool fluent
- Independent
- Systems thinker
- Leverage oriented
Day to day
- Build and continuously sharpen an AI-native engineering system that lets agents own whole workflows end to end.
- Direct and improve a fleet of agents by delegating work in parallel quality-checking results and fixing underlying capabilities when they fall short.
- Ship enterprise-grade AI-powered features in a tight closed loop with product leadership from reviewed plan and spec through execution to merged production releases.
- Multiply the whole team by sharing reusable rules context and skills so everyone’s capability rises over time.
- Lead senior engineers by scoping work reviewing PRs and holding a high quality bar before anything merges.
