Back End Developer (AI Infrastructure)

About the role

What if the code you write could directly power the AI systems shaping how millions of people interact with technology? We are looking for Back End Developers to design, build, and optimise server‑side systems and APIs that drive cutting‑edge AI products, from data pipelines to model‑serving infrastructure.

Key responsibilities

• Design, develop, and maintain robust back end services, APIs, and data pipelines.
• Build scalable, high‑performance server‑side architecture to support AI training and inference workloads.
• Write clean, well‑documented, testable code following engineering best practices.
• Integrate with databases, message queues, cloud services, and third‑party APIs.
• Optimise system performance, reliability, and scalability as usage grows.
• Collaborate asynchronously with distributed teams of engineers, researchers, and product leads.
• Troubleshoot production issues, conduct code reviews, and contribute to architectural decisions.
• Work independently on task‑based and project‑based assignments on your own schedule.

Required profile

• Proficient in one or more back‑end languages such as Python, Go, Java, Node.js, or Rust.
• Strong understanding of RESTful API design, microservices architecture, and distributed systems.
• Experience with relational and/or NoSQL databases (e.g., PostgreSQL, MongoDB, Redis).
• Comfortable working with cloud platforms (AWS, GCP, or Azure).
• Familiar with version control (Git), CI/CD pipelines, and containerisation (Docker, Kubernetes).
• Excellent problem‑solving skills and ability to debug complex systems independently.
• Self‑motivated, reliable, and effective when working asynchronously without close supervision.
• Clear communicator who can document decisions and collaborate across time zones.

Required skills

• Python
• Go
• Java
• Node.js
• Rust
• RESTful API design
• Microservices architecture
• Distributed systems
• PostgreSQL
• MongoDB
• Redis
• AWS
• GCP
• Azure
• Git
• CI/CD pipelines
• Docker
• Kubernetes

What we offer

• Work on cutting‑edge AI infrastructure projects alongside leading research labs.
• Fully remote and flexible schedule; set your own hours and work from anywhere.
• Freelance autonomy with technically challenging, meaningful work.
• Opportunity to build systems at the intersection of software engineering and artificial intelligence.
• Collaboration with a global network of talented engineers and researchers.