About the job
We are seeking an experienced AI Developer to join our team in building the next generation of internal development tools. Your work will focus on integrating AI and machine learning into our toolchain to accelerate software development, improve code quality, and simplify engineering workflows.
You will work closely with front-end and framework engineers to understand their workflows and build intelligent assistants, static/dynamic analyzers, and smart automation features that meaningfully improve their day-to-day productivity.
Responsibilities
- Design and implement AI-powered developer tools that enhance productivity, reduce friction, and improve code quality.
- Integrate intelligent systems into existing toolchains and frameworks, supporting tasks such as code generation, diagnostics, refactoring, and performance tuning.
- Collaborate with engineers across rendering and framework domains to understand pain points and translate them into practical, AI-enhanced solutions.
- Build and maintain infrastructure for model integration, code analysis, and in-editor assistance.
- Track emerging trends in AI-assisted development and propose new tools and features that push the boundaries of developer experience.
Qualifications
Minimum
- Bachelor’s degree in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience.
- Strong programming skills in JavaScript/TypeScript and at least one systems-level language (e.g., C++, Rust, Go).
- Solid understanding of frontend or cross-platform application development.
- Familiarity with machine learning techniques, natural language processing, or LLM applications in software tooling.
Preferred
- Master’s or Ph.D. in Computer Science, Machine Learning, or a related field.
- Experience applying AI/ML models to code-related tasks such as generation, summarization, linting, or analysis.
- Contributions to developer tooling projects (internal or open-source), especially those focused on enhancing code understanding or workflow automation.
- Knowledge of rendering pipelines or cross-platform framework architecture is a plus.
- Experience deploying and optimizing ML models in real-world applications.