Software Engineer, AI-Native Builder

About MoonAn ambitious and independent stealth SaaS company incubated by Home Organizers, a market leader with decades of proven success in designing and delivering exceptional, innovative home organization solutions through its subsidiaries Closet World, Closets by Design, Brio Water Technology, and others. Backed by their deep industry experience and a commitment to be Home Organizer’s critical SaaS provider for its 6000+ employees, our team is building innovative solutions to solve universal problems that most businesses face — yet are not addressed by a single, unified tool.Our mission is to transform the entrepreneurial experience and deliver operational excellence for businesses across the world through a unified platform supercharged with proprietary AI agents. We want to unleash the creativity of billions and inspire the world to dream big and build fast. We’re a rapidly growing team of forward-thinking and, most importantly, committed builders. We are driven by the opportunity to push boundaries, reimagine the foundations of human work, and shape tools that power the next generation of “business operations.” The way the world views and does business is changing, and we are committed to leading this change responsibly.Role OverviewThis is not just a hands-on coder role — it is a force multiplier. You will ship product features whilealso being the person who has the opportunity to fundamentally change how the entireengineering team works. You will own, extend, and continuously evolve the company’s proprietaryAI toolkit while leading a company-wide SDLC rebuild powered by AI agents. You will mentor adistributed offshore team of senior software engineers on using AI tools, design the AIinfrastructure environment for the entire engineering organization, and build AI-powered featuresdirectly into the home services SaaS product. The right person for this role has actually changedhow a team works before — not just used AI tools themselves. The stated goal: 10x engineeringproductivity.About The RoleYou will pair closely with our engineers, who are already AI-native, and together you becomethe AI center of gravity on the team. The offshore team is made up of strong, experiencedsoftware engineers who need mentoring to using AI to its full potential — you are the personwho changes that. You also own the toolkit infrastructure that makes AI work reliably acrossthe whole organization: the agents, the skills, the context pipelines, and the MCP integrations.Your impact is measured not just by what you ship, but by how much faster everyone else shipsbecause of you — and by whether the AI toolkit itself is getting smarter over time.What You'll DoMoon AI Toolkit — Ownership & Evolution Own, maintain, and continuously evolve the company’s Moon AI Toolkit Build new agents from scratch — define agent scope, system prompts, tool access, andevaluation criteria Write new skills (e.g. Claude Code native skills) that are automatically discovered and invokedacross the engineering workflow Design new multi-agent workflows that orchestrate specialists in parallel and sequentially tocomplete complex engineering tasks Maintain and improve the agent routing system — ensuring the right agent is dispatched forevery task type, with clear escalation paths Evaluate agent performance continuously — identify failure modes, rewrite underperformingagents, and log learnings to the shared knowledge baseSDLC Rebuild with AI Agents Lead the redesign of the company’s SDLC using AI skills and agents as the primary mechanismof change Automate or AI-augment every repeatable SDLC step: ticket refinement, code review, testgeneration, documentation, and deployment verification Work directly with the engineering team to roll out changes company-wide — includingtraining, change management, and feedback loops Define the measurable productivity baseline and track progress against the stated 10ximprovement goal Own the rollout roadmap: from POC phase (first 90 days) through team-wide adoptionFull-Stack Feature Delivery Work across the .NET / C# backend (ASP.NET, EF Core), Python, TypeScript / Capacitor frontend(cross-platform mobile), and AI integration layer (LLM APIs, RAG, agent pipelines) Build AI-powered features into the product directly — home services use cases includingscheduling intelligence, recommendations, and workflow automation Maintain production quality throughout: tests, documentation, and code review for everyfeature shippedAI Environment for the Engineering Organization Design and implement the infrastructure and tooling environment that makes successful AIusage possible across all engineers Own MCP (Model Context Protocol) server configuration and management — the integrationlayer connecting AI agents to internal systems (Jira, Confluence, GitHub, Slack, Notion) Standardize IDE plugin configuration and AI assistant settings across the team Design and maintain context injection pipelines — ensuring AI agents have access to accurate,up-to-date project context at all times Own the onboarding program for new engineers joining the AI-assisted workflowContext Building & Knowledge Management Implement engineering org-wide context layer best practices: structured context files(.claude/docs/ — project-map, known-issues, conventions, decisions, lessons), sharedknowledge management, and AI tool configuration standards Own the prompt library governance process — curate, version-control, and share high-valueprompts across the team Establish standards for how agents consume context: what goes in knowledge files, how tostructure agent instructions, and how to keep context current as the codebase evolvesTeam Enablement & AI Adoption Mentor and upskill engineers on AI tooling Define and roll out AI-assisted development standards across the whole engineering team (e.g.Cursor, Copilot, or equivalent) Establish code quality standards and review practices that scale with AI-assisted development Help translate poorly defined or ambiguous tickets into clear, executable engineering tasksbefore work beginsQualificationsDemonstrated experience driving AI tooling adoption across an engineering team — withmeasurable outcomes, not just personal usage Deep proficiency with AI-assisted coding tools like Cursor, GitHub Copilot, Claude Code, etc. —you use these daily, not occasionally Experience building and evolving AI agent systems: agent definitions, multi-agent orchestration,routing logic, and failure mode analysis Enough .NET / C# fluency to be credible and effective with a senior engineering team — youcan review their code and spot issues TypeScript / Capacitor for frontend and cross-platform mobile work — you own the full stackfor AI-powered features Experience integrating LLM APIs into production applications (OpenAI, Anthropic / Claude,Azure OpenAI, or similar) Understanding of Model Context Protocol (MCP) — configuring servers, managing tool access,and troubleshooting integration issues Strong code review skills and the ability to set engineering standards that others follow Comfortable working with ambiguity — you can take a vague requirement and turn it into awell-scoped engineering taskNice to have Experience with RAG (Retrieval-Augmented Generation) patterns or advanced AI agentworkflow design Background in home services, field service management, or similar SaaS verticals Experienced with prompt engineering and AI workflow design beyond code generation Prior experience building Claude Code agents, skills, or custom workflowsThe Pay Range For This Role Is130,000 - 160,000 USD per year(Moon HQ)