Responsibilities

Build AI agents that take actions inside Raspberry's design platform — triggering generations, chaining outputs across creative AI tools, and orchestrating multi-step workflows
Design the orchestration and tool abstraction layer that exposes Raspberry's creative AI tools as agent-callable actions
Architect end-to-end agentic workflows for batch design operations (e.g., sketch → render → colorway → on-body → tech flat)
Build conversation, review, and approval interfaces that keep designers in control of agent-driven outputs
Evaluate and integrate agent frameworks and LLM capabilities to find the best approaches for our domain
Collaborate closely with ML engineers, product, and design to shape the roadmap for AI-powered creative workflows

Qualifications

5+ years of software engineering experience, with meaningful time building AI-native products end-to-end
Hands-on experience with agent frameworks and orchestration (LangGraph, Anthropic Agent SDK, CrewAI, or similar)
Strong full-stack product engineering skills — our frontend is React/Next.js/TypeScript, backend is FastAPI/Python
Deep fluency with LLMs and generative AI — prompt engineering, function calling/tool use, multimodal models
Excellent communication and collaboration skills

Experience building collaborative or real-time applications (CRDTs, WebSockets)
Background in computer vision, image generation, or diffusion models
Experience building tools or workflows for professional creatives (designers, artists, or adjacent domains)
Contributions to open-source AI projects or published research
Comfort operating in an early-stage startup with fast iteration cycles