Full Stack Software Developer

About Engineered Arts LLC

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 also exploring how our humanoid robot technology can disrupt other robotics sectors by expanding their applications into areas such as hospitality, front desk and healthcare industries.

We are a team of dedicated engineers 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. We always push the boundaries of what is possible in humanoid robotics, researching and developing new systems and techniques to further their appeal. We explore and challenge the human perception of robots as well as the fear and discomfort and the excitement and joy life-like mechanical humanoids present.

“Diversity & Inclusion at Engineered Arts

At Engineered Arts, innovation is at the core of everything we do — and we believe true innovation only happens when diverse minds come together.

We are committed to building a workplace where people of all backgrounds, identities, and perspectives feel welcome, supported, and empowered to contribute. Whether you’re an engineer, developer, or creative thinker, we value what makes you unique.

We actively promote inclusion across our hiring, design, and development practices, and we’re always looking for new ways to reflect the world around us — in our team, our robots, and our ideas.

Because building the future means including everyone in it.”

We are committed to equal opportunity in employment and comply with all applicable non-discrimination and equal employment laws in the regions where we operate.

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

● Delivery: Docker, Kubernetes, GitLab CI

Strong fundamentals and the ability to ramp into an existing codebase matter more than having

used every tool before.

Nice to Have

● React / TypeScript frontend exposure — familiarity with how backend APIs are consumed in the UI is a plus

● Production experience with LLMs and related systems: streaming, tool/function calling, RAG/knowledge bases, multi-provider TTS/STT, and latency/cost trade-offs

● Async/event-driven systems experience — asyncio, WebSockets, pub/sub messaging such as NATS or equivalents

● Realtime experience — WebRTC, media/signalling pipelines, or other latency-sensitive architectures

● Docker, Kubernetes, and cloud platforms (AWS or similar)

● Strong debugging and observability habits — structured logs, metrics, and tracing

● C++ and/or Rust

● Prior experience in robotics, human–robot interaction, conversational agents, or MCP/tool-platform integrations

● OpenTelemetry or similar production telemetry experience