AI Research Platform Engineer

Genesis

Greater London

Hybrid

GBP 90,000 - 120,000

Full time

14 days+
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Job summary

Genesis is seeking a senior software engineer to design, build, and maintain foundational frameworks and internal tooling that accelerate AI research and development.

You will collaborate with researchers and engineers across disciplines to implement modular, reusable systems and drive large-scale organizational improvements with minimal disruption. The role emphasizes code quality, documentation, and scalable tooling.

Qualifications

  • Excellent software engineering skills in Python, Go, or Rust.
  • Extensive experience designing, building, and maintaining modular and reusable systems.
  • Experience collaborating with engineers and researchers across disciplines.
  • Ability to implement large-impact changes across the organization with minimal disruption.
  • Experience building internal tooling to accelerate AI research workflows (debugging, evaluation, experiment tracking, CI automation).

Responsibilities

  • Design, build, and maintain foundational frameworks and tools to empower expert teams to experiment fast and turn ideas into production-ready systems.
  • Collaborate with expert teams to validate uses cases and build robust solutions, aiming for modular and reusable components.
  • Identify and mitigate high-level code design flaws and development workflow inefficiencies that cause friction, hinder productivity, and create silos across the organization.
  • Advocate for good practices and maintain high code quality through code reviews, documentation, and training.

Skills

Python
Go
Rust
Modular system design
Internal tooling for AI workflows

Job description

Genesis is seeking a senior software engineer to design, build, and maintain foundational frameworks and internal tooling that accelerate AI research and development.

You will collaborate with researchers and engineers across disciplines to implement modular, reusable systems and drive large-scale organizational improvements with minimal disruption. The role emphasizes code quality, documentation, and scalable tooling.

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