Imagine building the infrastructure behind an AI product designed to help billions of people get things done faster and smarter.
We're looking for a Backend Engineer – AI to develop the systems that power every AI interaction behind the scenes. You'll build the orchestration and inference layer that transforms cutting-edge AI models into reliable, production-ready services used by real users every day.
If you're passionate about distributed systems, high-performance backend engineering, and the future of AI...
Feel invited! This is your chance to help shape the next generation of intelligent products.
WHAT WE OFFER
- Opportunity to build an AI-native product with global ambitions
- Work with state-of-the-art AI technologies and modern backend infrastructure
- High ownership and autonomy from day one
- Collaboration with an exceptional engineering team passionate about innovation
- Fast-paced environment where your ideas have real impact
- Opportunity to solve complex engineering challenges at scale
YOUR ROLE
- Design, build, and operate backend systems powering AI-driven product features
- Develop inference pipelines and orchestration layers for Large Language Models
- Build scalable APIs that connect AI capabilities with web and mobile applications
- Improve system performance by optimising latency, throughput, caching, batching, and streaming
- Ensure production reliability through monitoring, logging, alerting, and incident response
- Collaborate closely with Machine Learning, Product, and Frontend teams to deliver end-to-end solutions
- Continuously improve platform scalability, observability, and operational excellence
- Drive engineering best practices across AI infrastructure and backend services
IF YOU ARE A PERSON WHO
- Has strong commercial experience in Backend Engineering
- Has built and maintained production-grade distributed systems
- Understands scalable backend architecture and API design
- Has experience with high-throughput, low-latency applications
- Is familiar with AI inference, Large Language Models (LLMs), embeddings, or multimodal systems
- Enjoys solving performance, reliability, and scalability challenges
- Takes ownership and thrives in fast-moving, product-focused environments
- Is proactive, pragmatic, and enjoys learning from real production systems
- Communicates effectively and enjoys collaborating with cross-functional teams
Nice to have:
- Experience with Python, Node.js, PyTorch
- Familiarity with OpenAI, Anthropic, or open-source LLMs
- Experience with Kubernetes, Docker, SQL, and NoSQL databases
- Exposure to AI infrastructure, model serving, or inference optimisation
Congrats! If you want to build the AI infrastructure powering intelligent products used by millions, this role is ideal for YOU!