Member of Technical Staff - Software Engineering

Dex; Greater London; On-site; GBP 90,000 - 135,000; Full time

Job summary

Frontier AI Lab in London or Paris seeks a Member of Technical Staff to build the distributed backend powering cutting-edge agent training environments. You will own APIs, runtimes, persistence, and data pipelines, turning ambitious research into production infrastructure.

The role emphasizes hands-on architecture, scalable systems, and close collaboration with AI researchers. On-site work at our London or Paris hubs, with a strong focus on reliability, testing, observability, and deployment

Qualifications

• Experience building distributed, data-intensive backend systems in production on AWS, GCP, or similar.
• Strong hands-on capability in typed languages; experience with TypeScript/Node.js preferred; other languages welcome.
• Proven ability to own ambiguous systems from problem statement to shipped infrastructure.
• Willingness to work on-site in London or Paris.

Responsibilities

• Design and operate core backend services, APIs, and persistence layers for dynamic environments.
• Build distributed workflows and high-throughput pipelines for agent interaction traces.
• Collaborate with AI researchers to translate experimental methods into scalable platform capabilities.
• Drive testing, observability, infrastructure as code, and continuous deployment standards.

Skills

Distributed backend

TypeScript

Node.js

Cloud platforms (AWS/GCP)

Ownership of ambiguity

Hands-on architecture

Go

Rust

Java

C++

Tools

AWS

GCP

CI/CD

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

Frontier AI models are bottlenecked by data: the next generation of agents requires experiential training, learning through trial and error across real digital software. This seed-stage AI lab builds the interactive, resettable software environments that make this training possible, supplying critical training environments directly to multiple frontier labs. Founded by a repeat founder with a successful exit and backed by prominent tech angels and venture funds, they have grown to over 50 staff across London and Paris in roughly twelve months.

As a Member of Technical Staff, you will build the distributed platform underneath: the APIs, backend runtimes, persistence layers, and pipelines that generate, run, and scale dynamic environments. This role is calibrated from Mid through Principal based purely on the technical scope and architectural ambiguity you can own, not your years of experience. This is not prompt engineering, wrapper building, or workflow orchestration; it is foundational backend systems engineering turning cutting-edge agent training methods into reliable, production-grade infrastructure.

The work

• Design and operate the core backend services, APIs, and persistence layers that instantiate, isolate, and reset complex software environments on demand.
• Build distributed workflows and high-throughput pipelines to capture, process, and serve agent interaction traces directly into AI training loops.
• Partner closely with AI and curriculum researchers to translate raw experimental methods into hardened, scalable platform capabilities.
• Drive operational rigor across the engineering stack, setting standards for automated testing, observability, infrastructure as code, and continuous deployment.

What You Bring

• Demonstrated track record of building, debugging, and operating distributed, data-intensive backend systems in production on AWS, GCP, or equivalent cloud platforms.
• Deep technical fluency in at least one typed language; their primary stack is TypeScript and Node.js, but background in Go, Rust, Java, C++, or similar is welcome.
• Proven history of independently owning ambiguous systems from raw problem statement to shipped production infrastructure, without needing detailed specifications.
• Committed to staying deeply hands-on in architecture, implementation, and code; this seat is not for coordinators or pure managers.
• Able to work on-site from their engineering hubs in London or Paris.