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. This lab builds the interactive, resettable digital environments where they do it: navigating software, completing tasks, learning from failure, and improving through trial and error. This isn’t just research; it’s about generating the experiential data that trains increasingly capable AI systems. They’ve raised significant funding and work directly with frontier AI labs, growing rapidly with a team from leading tech companies and successful startups.
This is a Staff or Principal Software Engineer role, offering genuine technical authority without disconnecting you from the code. You’ll own major platform areas, from technical direction to production delivery, designing scalable systems for AI simulation, data generation, and agent workflows. This isn’t a ticket-crunching role; it’s about leading architecture across distributed systems and data-intensive infrastructure, turning ambiguous problems into clear plans, and guiding other engineers. You’ll stay deeply hands-on, helping the team make better decisions and improving engineering practices as the organisation scales.
The work
- Own the technical direction and production delivery for major platform areas, from concept to deployment.
- Design and build scalable distributed systems for AI simulation, data generation, and agent workflow orchestration.
- Lead architectural decisions across backend services and data-intensive infrastructure, ensuring reliability and performance at scale.
- Translate ambiguous technical and business challenges into clear, actionable engineering plans.
- Drive improvements in engineering practices: testing, observability, deployment, and overall system reliability.
What You Bring
- You have extensive experience building and operating complex production systems, with a strong background in architecture and system design.
- You’ve led large, ambiguous engineering initiatives, designing distributed systems, data platforms, or complex technical workflows.
- You are proficient in one or more typed languages (e.g., TypeScript, Go, Java, Rust) and have a deep understanding of cloud architecture (AWS or GCP).
- You can provide technical direction and mentorship while remaining deeply hands-on, actively contributing to code and reviews.
- You thrive in fast-changing environments, making pragmatic trade-offs around scalability, reliability, and delivery speed.
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