Senior Software Developer; IntelliJ AI

At Jet Brains, code is our passion. Ever since we started back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

The Intelli

J AI team develops the AI-specific core of Jet Brains IDEs. It provides an agentic experience and enhances features like code completion, next edit suggestions, and VCS operations. Our plugin is actively used across multiple Jet Brains IDEs, continually improving the coding experience for thousands of developers, and we aim to provide the leading AI-powered coding assistant, not just a competitor but the clear market leader.

We are now looking for Senior Software Developers to work on the core AI features.

• Integrate state-of-the-art AI agents into our IDEs, continuously improving the developer experience of working with them.
• Enhance agent capabilities by equipping them with the most intelligent tools available in our IDEs.
• Improve the coding experience in the editor by building and evolving ML-powered code completion and other AI features.
• Create novel AI features with no direct market analogs, experimenting with and exploring the new possibilities brought by modern AI technologies.
• Measure and evaluate the performance of agents and other AI features to achieve reliability and reproducibility in our new, non-deterministic world.

We’re hiring for several roles and levels within the team. Not all of the requirements below are applicable to every vacant position. Generally speaking, we’re looking for strong engineers who bring depth in one or more of these areas.

• Want to help build the best IDEs in the world and push the boundaries of what developer tools can do.
• Have strong knowledge of Java, Kotlin, or a similar programming language.
• Be comfortable with system architecture and able to design, evolve, and improve complex systems.
• Be self-driven, comfortable working independently, and able to take end-to-end ownership of projects.

• Developing IDEs, code editors, or large, complex desktop applications.
• Concurrent programming, with prior experience leveraging multithreading to improve performance and scalability.
• Working on correctness-critical, detail-oriented systems.

• Developing AI/ML-powered features.
• Developing and improving LLM-based functionality, including context awareness, online evaluation, and offline experimentation.

• Building infrastructure to evaluate AI features.
• Creating internal platforms, experimentation frameworks, or large-scale systems.

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