Jobs at Djinni

Design System Lead / Design Ops (Remote)

Our client is looking for a Design System Lead / Design Ops Specialist to help build an AI-friendly design system for an AI-first coaching platform.

This role sits at the intersection of product design, design systems, and AI-assisted prototyping. You will help create reusable UX patterns, scalable components, and structured documentation that improve collaboration between designers, engineers, and AI tools.

Responsibilities

Build and maintain a scalable Figma design system

Define reusable components, variants, tokens, layouts, and interaction patterns

Create clear and AI-friendly documentation for modern AI-assisted workflows

Collaborate with product, UX, and engineering teams to transform product flows into reusable UI patterns

Improve consistency between design and frontend implementation

Support rapid prototyping for dashboards, onboarding flows, feedback systems, and learning experiences

Establish Design Ops processes including naming conventions, governance, QA, versioning, and component adoption

Requirements

4+ years of experience in UI/UX, Product Design, Design Systems, or Design Ops

Strong expertise with Figma: components, variants, auto-layout, variables, design tokens, and prototyping

Experience building or maintaining design systems for complex digital products

Ability to simplify complex product logic into scalable UX patterns

Understanding of design-to-code workflows and collaboration with frontend engineers

Interest in AI-assisted design workflows and modern prototyping tools

English — Upper-Intermediate or higher

Nice to Have

Experience with AI products, gaming, coaching platforms, educational products, analytics systems, or complex dashboards

Familiarity with tools such as Cursor, Claude Code, Figma MCP, v0, Lovable, Framer, Webflow, or Storybook

Basic frontend knowledge (HTML, CSS, React, Tailwind)

Experience creating structured documentation for both humans and AI systems

Interest in strategy games or skill-based products

What Success Looks Like

A clean, scalable, AI-friendly design system

Faster feature prototyping without losing consistency

Improved design-to-development collaboration

AI-assisted tools generating outputs aligned with product patterns and UI logic

Conditions

Remote

Flexible collaboration

Long-term product opportunity

We’re building Project Apollo, a multiplatform Al-powered document system serving hundreds of thousands of users every month: We need a Engineer who ships end-to-end: someone who thinks like a product owner, codes like a craftsperson, and reaches for Al-native tooling by default.

What You Will Do

• Build and maintain the core Apollo multiplatform document system. You’ll own features end-to-end, from idea to production, React frontends, Node.js/Express backends, and PostgreSQL, Databricks integration & data layers.
• Ship to learn. Proactively instrument features, measure impact, seek user feedback, and iterate or kill based on what you discover. You treat metrics as a compass, not a report caro
• Design and orchestrate agentic Al workflows using modern frameworks (LangGraph, Claude Agent SDK, MCP protocols) and integrate LLMs into product features via prompt chains, tool calling, and function
• Collaborate with engineers, designers, and leadership to shape the product roadmap. You’ll have a real voice in what gets built and why.
• Build, maintain, and extend automation pipelines and connect them with Al agents, extermal APis, webhooks, and cloud services on GCR
• Contribute to database schema design (PostgreSQL, BigQuery), build and maintain RESTful APls, and help manage our cloud infrastructure on Google Cloud Platform.

What You Will Bring

• Python fluency, you can quickly build and utilise a wide range of libraries when the task calls for it.
• 2-5 years of full-stack experience in a high-output team. You know how to balance speed with quality and when to choose one over the other.
• Deep Python, TypeScript & React proficiency on the frontend (Hooks, Context API, Vite, Shadcn Ul) and backend (Node.js, Express, REST APls, PostgreSQL).
• You have taste. You can distinguish between good and bad UX, and you can share examples to demonstrate it.
• You’re Al-native. You reach for agents by default, understand MCP and agentic orchestration patterns, and have built guardrails to trust them more and more. Python proficiency for rapid prototyping is a must.
• You’re self-driven and business-aware. You care about solving real problems and moving the needle on metrics, not just shipping features. Give you context, and you’ll find the leverage.

Bonus Points

• Previous hands-on experience with LLMs in production, prompt tuning, RAG pipelines, vector databases (Pinecone, Weaviate), or agentic frameworks (Lang Graph, CrewAl).
• Familiarity with LLM observability tools (Langfuse, LangSmith) and cloud platforms (GCP).
• A genuine passion for Al and a habit of staying on the frontier: new models, protocols (MCP, A2A), and developer tooling.

Why You’ll Love Working With Us

• High-impact role in a small, agile team building a greenfield product with real scale potential.
• Modern, carefully selected tech stack with Al at the core, not bolted on.
• Startup energy backed by the resources and stability of a large, successful company.
• A collaborative culture that values open communication, ownership, and a shared passion for building exceptional products.