Platform Engineer - Internal Tools for AI Research

Genesis AI; Northern (KY); Hybrid; USD 110,000 - 140,000; Full time

Job summary

Genesis AI is seeking a skilled software engineer to design, build, and maintain foundational frameworks that enable rapid experimentation and production-ready systems. You will collaborate with researchers and engineers to validate use cases and deliver modular, reusable components that scale across teams.

You will also identify high-level design flaws, streamline workflows, and promote best practices through code reviews, documentation, and training.

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 to understand complex requirements and provide simple solutions.
• Ability to implement large-impact changes across the organization with minimal disruption.
• Experience building internal tooling to accelerate AI research and development workflows (debugging, evaluation, experiment tracking and versioning, 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 use cases and build robust, modular solutions with reusable components.
• Identify and mitigate high-level code design flaws and workflow inefficiencies that cause friction and silos.
• Advocate for best practices and maintain high code quality through code reviews, documentation, and training.

Skills

Python/Go/Rust

Modular system design

Cross-team collaboration

Internal tooling

Job description

Genesis AI is seeking a skilled software engineer to design, build, and maintain foundational frameworks that enable rapid experimentation and production-ready systems. You will collaborate with researchers and engineers to validate use cases and deliver modular, reusable components that scale across teams.

You will also identify high-level design flaws, streamline workflows, and promote best practices through code reviews, documentation, and training.