Remote
Full Time
Our Client helps teams improve performance and wellbeing by turning survey and timesheet data into actionable insights using cutting-edge AI technology. They are building an intelligent engine that detects signals, recommends actions, and automates workflows across safety, engagement, and productivity. They offer startup excitement with established business stability. They're at an exciting inflection point - transitioning from agency support to a fully internal engineering team while scaling revenue growth. They are investing heavily in AI-driven development workflows - specifically leveraging the BMAD Method (Breakthrough Method for Agile AI-Driven Development) and similar frameworks to optimize our development processes through specialized AI agents for planning, architecture, and implementation.
We're looking for a Lead/Principal Engineer who thrives in high-ownership environments and is passionate about AI-driven development workflows to drive the technical vision and build the future of workplace insights. Reporting directly to the CTO, you'll lead the integration of AI/LLM capabilities (Claude, Gemini) across our fullstack platform, architect scalable solutions, and guide the engineering team while working directly with our product and design teams to ship solutions that matter to our customers.
This isn't your typical fullstack role - you'll have the autonomy to define the technical strategy and architecture across our entire technology stack, from Ruby on Rails backend APIs to Next.js frontend experiences, while leading a team that leverages AI-driven development methodologies like the BMAD Method to build production AI systems that transform how organizations understand their teams.
● Build AI-powered features: Lead the integration of AI across the fullstack to transform employee engagement and productivity data into actionable insights for HR managers
● Architect end-to-end solutions: Design and implement features from Rails APIs through to Next.js frontend experiences, leveraging AI planning agents and context-engineered development processes
● Lead technical strategy: Drive architectural decisions across our Ruby on Rails backend, Next.js frontend, and PostgreSQL data layer hosted on AWS, while optimizing development workflows with AI assistance
● Champion AI-driven workflows: Mentor engineers on leveraging AI agents for PRD creation, architectural planning, and development story generation to maximize team productivity
● Shape your team's growth: Guide engineers in adopting growth mindsets and AI-assisted development practices while developing technical expertise across our technology stack
● Collaborate cross-functionally: Work directly with product and design to break down requirements and deliver customer-focused solutions across the entire user experience
● Foster innovation culture: Champion psychological safety, experimentation with AI tools, and continuous learning within the engineering team
● Drive platform decisions: Instrument features, monitor production health across frontend and backend systems, and lead architectural improvements using AI-assisted analysis
● Data: PostgreSQL, Redis
● AI/LLM: Claude, Gemini with custom prompting
● Frontend: Next.js/TypeScript
● Infrastructure: AWS, Docker, CI/CD (GitHub Actions)
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