Senior Software Engineer, AI Platform (up to £140k)

Dex; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Dex partners with leading AI teams to build scalable backend platforms. This role focuses on implementing APIs, data pipelines, and core services that power AI simulation environments.

You will collaborate with AI and curriculum engineers, own deployments, monitor systems, and push reliability and performance improvements in a fast-moving, high-autonomy setting.

Qualifications

• Experience building production software systems with end-to-end ownership.
• Strong system design and ownership across the stack.
• Proficiency in at least one typed language such as Go, Java, C#, or TypeScript.
• Experience with cloud platforms and modern infra tools.

Responsibilities

• Design and build scalable APIs and backend services for AI simulation and data generation.
• Develop robust data persistence layers and complex pipelines to capture, process, and manage experiential data.
• Own the end-to-end lifecycle of core platform systems, from design through to production deployment and monitoring.
• Collaborate directly with AI and curriculum engineering teams, translating research into production-ready infrastructure.
• Drive improvements in system reliability, testing, and deployment practices across the platform.

Skills

API design

Backend systems

Typed languages

Cloud platforms

Architecture ownership

Tools

AWS

GCP

Docker

Kubernetes

Terraform

Job description

This role is with one of Dex's trusted partner companies. We work closely with their teams to truly understand their culture, goals, and what they're looking for, so we can match you with the right opportunity and give you context about the role before you commit to a process.

The role

AI agents need to learn like humans do: by doing, failing, and trying again. This company builds the interactive, resettable digital environments — from simple websites to complex enterprise applications — where they can. It's a foundational problem for increasingly capable AI systems, backed by significant funding and working with leading AI research organizations. You'll join a lean platform team, building the core systems that power this learning. This isn't about fine-tuning models; it's about the robust, scalable infrastructure underneath: APIs, backend services, data persistence, and complex data pipelines for capturing experiential data. You'll own meaningful technical problems end-to-end, from initial idea to production, making pragmatic calls in a high‑autonomy environment.

The work

• Design and build scalable APIs and backend services for AI simulation and data generation.
• Develop robust data persistence layers and complex pipelines to capture, process, and manage experiential data.
• Own the end-to-end lifecycle of core platform systems, from design through to production deployment and monitoring.
• Collaborate directly with AI and curriculum engineering teams, translating research into production‑ready infrastructure.
• Drive improvements in system reliability, testing, and deployment practices across the platform.

What You Bring

• You have significant experience building and operating production software systems, demonstrating strong system design and end-to-end ownership.
• Proficiency in at least one typed language (e.g., Go, Java, Kotlin, Rust, C#, C++, Scala, TypeScript) within backend, platform, or data-intensive engineering.
• Hands‑on experience with a major cloud platform (AWS, GCP) and modern infrastructure practices (Docker, Kubernetes, Terraform).
• You thrive in environments with evolving requirements, taking initiative to define and drive solutions from ambiguity.
• A pragmatic, low‑ego approach to engineering, focused on delivering impact in a fast-moving setting.