Staff Software Engineer, Frontend & AI Tooling (AI Enablement)
What you'll do
AI Enablement is the team that builds the AI infrastructure the rest of Clara's engineering org runs on. We're not a team that "adds AI to a product" — we build the tools other teams build with. Live examples today: Clara Builders (an internal skills marketplace and self-service app platform), an agent that turns Figma designs directly into production code through MCP, a documentation agent that keeps internal knowledge in sync with the codebases it describes, and n8n automations already running in production across several business teams.
We're looking for a senior engineer to own the frontend architecture of Clara Builders and go deep on the systems behind it — backend services, agent infrastructure, and the AI tooling other teams across Clara rely on. This is deliberately not a frontend-only role: you'll be expected to move into backend and infra whenever the problem calls for it, and to build AI tooling yourself rather than just apply it to your own tickets.
Concretely, Clara Builders is a Next.js 15 (App Router) + TypeScript app on Prisma/Postgres, with a self-service Dokploy deploy pipeline (staging → beta → production, gated by a pending/approved environment lifecycle) and a Cloudflare AI Gateway layer that proxies multiple LLM providers behind one internal endpoint. You'd be joining while we're actively building the next layer on top of that: OAuth Clients support and unified access proposals, both in progress and largely undocumented today — you'd be shaping them, not inheriting a finished spec.
We move fast and trust our engineers to own outcomes end-to-end. That means autonomy to make decisions, proactivity to surface problems before they become blockers, and the attitude to push initiatives across the finish line without waiting to be told what to do.
Your responsibilities will include:
Owning frontend architecture for Clara Builders (Next.js 15 App Router, React, TypeScript, Tailwind + shadcn/ui) and the component system that powers skills and app generation
Extending the backend in the same repo — Prisma/Postgres data models, auth flows, and the self-service Dokploy deployment pipeline (staging/beta/production with its pending → approved environment lifecycle)
Working directly in the AI Gateway layer — the Cloudflare AI Gateway proxy that fronts multiple LLM providers behind one internal endpoint — to add providers, harden routing, or expose new models to builders
Building and extending agent infrastructure: the Figma-to-code MCP agent, the documentation-sync agent, and the n8n automation flows already running in production
Designing and shipping new AI tooling from scratch — our own roadmap right now includes OAuth Clients and unified access proposals, both undocumented and actively being defined
Contributing to the GitHub org access model: self-service OAuth-based org membership with automated drift detection against clara-team
Setting the technical bar for frontend and AI-tooling work across the pod — through code review and the standard you hold in your own work
Who you are
Solid foundation in modern frontend engineering (React, Next.js App Router, TypeScript, Tailwind/shadcn) — that's the floor of this role, not the ceiling
Real evidence of building on top of LLMs, not just using them — agents, MCP servers/integrations, LLM gateway or proxy patterns, automation pipelines (n8n or similar) — not "I use Copilot daily"
Comfortable stepping into backend when the problem needs it — Postgres, Prisma (or an equivalent typed ORM), auth flows (OAuth/NextAuth-style), API design
High autonomy and ownership mindset — Clara's pod model has no EM assigning tasks; you define your own scope inside the team's goals and drive it
Nice to have: experience with design-to-code pipelines, design systems, or building internal developer platforms
English proficiency
A genuine pull toward AI. You don't need to be an expert, but you're actively experimenting with AI tools in your day-to-day work, keep up with where the space is going, and are eager to apply it to how we build. At Clara, AI is part of how we work, not a side topic
We've kept this list short on purpose — these are the things that actually matter. If you check most of these and the rest you'd close with curiosity and the right tools, we want to hear from you.