AI Developer

About the Role Creativefuel is hiring an AI Developer to design, build, and ship AI-powered products and automations — both for our clients and for internal tools we run our business on. You will work end-to-end: from understanding the business problem, to picking the right model and stack, to deploying something people actually use. We value builders. If you have shipped real things — even small ones — and can talk about what worked, what broke, and what you learned, we want to hear from you.

Key Responsibilities ● Translate business and creative workflows into reliable automations using tools like n8n, Make, and custom Python/Node scripts. ● Design and ship AI agents and LLM-powered features — chatbots, research assistants, content tools, internal copilots. ● Build full-stack products end-to-end: backend APIs, AI integration layer, and a usable frontend. ● Architect systems that work with AI but degrade gracefully without it. AI should be a feature, not a single point of failure. ● Evaluate and select the right models (proprietary APIs vs. open-source vs. fine-tuned) based on cost, latency, and quality. ● Prototype quickly, iterate based on user feedback, and ship to production. ● Collaborate with marketing, design, and content teams to translate ideas into working products. What We're Looking For ● Hands-on with AI coding tools: active, daily user of tools like Claude (Claude Code), ChatGPT/Codex, GitHub Copilot, Cursor, Windsurf, or similar. You should be able to demonstrate how you use these tools to ship faster and write better code — not just generate snippets. ● Demonstrable portfolio: GitHub, deployed projects, or case studies that show what you've built. ● Strong AI fundamentals: practical understanding of LLMs, prompt design, RAG, embeddings, and when to use fine-tuning. ● Full-stack capability: comfortable across backend (Python/Node), frontend (React/Next.js), and basic deployment. ● Automation experience: hands-on with n8n, Make, Zapier, or custom scripting for workflow automation. ● Market awareness: you follow the AI product landscape and can discuss what's working, what's overhyped, and where opportunities exist. ● Bias for shipping: you favour working software over perfect software, and improve from there. ● Clear communication: able to explain technical concepts to non-technical stakeholders. Tools You'll Likely Use OpenAI, Anthropic, and open-source LLMs · LangChain / LangGraph · n8n, Make · Python (FastAPI), Node.js · Next.js, React · PostgreSQL, Supabase, vector databases · Vercel, Docker. You don't need every tool — depth in a few matters more than surface-level familiarity with all. Why Join Creative Fuel ● Ownership of projects end-to-end with minimal bureaucracy. ● Freedom to choose the right tools and stack for the job. ● Budget for APIs, tools, and learning resources. ● Direct collaboration with creative and business teams — your work reaches real audiences. ● Early role in our AI practice with room to shape its direction.