Senior Engineer, AI Tooling & Developer Productivity

About Moon An 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 Overview This is not just a hands-on coder role — it is a force multiplier. You will ship product features while also being the person who has the opportunity to fundamentally change how the entire engineering team works. You will own, extend, and continuously evolve the company's proprietary AI toolkit while leading a company-wide SDLC rebuild powered by AI agents. You will mentor a distributed offshore team of senior software engineers on using AI tools, design the AI infrastructure environment for the entire engineering organization, and build AI-powered features directly into the home services SaaS product. The right person for this role has actually changed how a team works before — not just used AI tools themselves. The stated goal: 10x engineering productivity. About The Role You will pair closely with our engineers, who are already AI-native, and together you become the AI center of gravity on the team. The offshore team is made up of strong, experienced software engineers who need mentoring to using AI to its full potential — you are the person who changes that. You also own the toolkit infrastructure that makes AI work reliably across the 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 ships because of you — and by whether the AI toolkit itself is getting smarter over time. What You'll Do Moon 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, and evaluation criteria  Write new skills (e.g. Claude Code native skills) that are automatically discovered and invoked across the engineering workflow  Design new multi-agent workflows that orchestrate specialists in parallel and sequentially to complete complex engineering tasks  Maintain and improve the agent routing system — ensuring the right agent is dispatched for every task type, with clear escalation paths  Evaluate agent performance continuously — identify failure modes, rewrite underperforming agents, and log learnings to the shared knowledge base SDLC Rebuild with AI Agents  Lead the redesign of the company's SDLC using AI skills and agents as the primary mechanism of change  Automate or AI-augment every repeatable SDLC step: ticket refinement, code review, test generation, documentation, and deployment verification  Work directly with the engineering team to roll out changes company-wide — including training, change management, and feedback loops  Define the measurable productivity baseline and track progress against the stated 10x improvement goal  Own the rollout roadmap: from POC phase (first 90 days) through team-wide adoption Full-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 including scheduling intelligence, recommendations, and workflow automation  Maintain production quality throughout: tests, documentation, and code review for every feature shipped AI Environment for the Engineering Organization  Design and implement the infrastructure and tooling environment that makes successful AI usage possible across all engineers  Own MCP (Model Context Protocol) server configuration and management — the integration layer connecting AI agents to internal systems (Jira, Confluence, GitHub, Slack, Notion)  Standardize IDE plugin configuration and AI ass