About Engineered Arts

Engineered Arts is the leading manufacturer of full-size humanoid robots used for entertainment, education and communication. With 20 years of hardware and software development, our robots have been sold in over 30 countries worldwide with customers such as NASA, PwC, Meta and many more.

Our Ameca robot is well known as 'the face of AI' and a social media viral success, taking advantage of the generative AI craze. Along with our ultra-realistic Mesmer range of animated figures, our robots continue to surprise and excite visitors at museums, theme parks, visitor attractions and trade shows, as well as aid leading universities with AI and robotics research. Our robots are poised to break into the future mega-expansion service robot segment, with applications such as front of house, receptions, check-in desks, information points and PoS.

We are a team of dedicated Developers and creatives striving to develop the very best experiences for our customers. Our internal motto is 'Be Wow' — everything we do is fun, entertaining or surprising to encounter.

About You

You're a mid-to-senior full stack developer with a strong backend focus who thrives building reliable, scalable cloud software. You've shipped production features across APIs, data layers, and AI pipelines — and you know what it takes to build services that hold up under real-world conditions. You bring strong Python skills, deep comfort with Django and GraphQL, and the debugging instincts to trace a problem across backend layers, services, and integrations.

You care about architecture, but you're pragmatic — you understand that systems powering physical products demand robustness, repeatability, and thoughtful failure modes, not just elegant abstractions. You can integrate quickly into a large, mature codebase, deliver value early, and keep quality high even as scope evolves. You're energised by ambiguity, patient with complexity, and motivated by the moment a customer's robot does something that genuinely creates wonder in the real world.

What You'll Do and How You'll Have an Impact

Design, implement, and evolve GraphQL APIs and Python/Django backend services, writing clean, tested, and scalable code across API and data layers
Integrate and productise LLMs and AI pipelines — including streaming, tool calling, RAG/knowledge bases, and multi-provider TTS/STT — turning ambiguous agent behaviour into clear product contracts with defined schemas, permissions, fallbacks, and observability
Optimise AI-powered robot experiences for latency, cost, and robustness — building conversational experiences that feel natural on a physical humanoid, not just in a controlled demo environment
Build and maintain backend services that power fleet configuration, agent behaviour, and realtime telepresence surfaces
Debug complex backend issues, and proactively improve testability, observability, and maintainability as you go
Partner with product, UX, DevOps, QA, and embedded engineers to turn requirements into shippable, high-quality designs — providing technical feedback on feasibility, risk, and sequencing
Coach and support more junior developers; raise the bar for quality across a complex, fast-moving codebase

What We're Looking For

Mid-to-senior experience shipping production software as a full stack developer, with clear backend strength
Strong Python backend experience; Django strongly preferred, or clear transferable experience
Experience designing and consuming GraphQL APIs — not only REST
Comfortable working on Linux systems, debugging remote services, and navigating logs, processes, and packaging/deploy workflows
Solid Git and collaborative development practices; writes tested, maintainable code and understands CI/CD
Working knowledge of relational databases (PostgreSQL preferred)
Clear communication and collaboration with product, design, and other disciplines

Our Stack

Frontend: TypeScript, React, GraphQL, Material-UI
Backend: Python, Django, PostgreSQL, WebSockets
On-robot / AI: Async Python on Linux, LLM/TTS/STT integrations, RAG