Description

An advanced AI-focused engineering program is seeking experienced software professionals to contribute technical expertise through real-world software development and evaluation tasks. This opportunity supports the improvement of next-generation AI systems by applying practical engineering knowledge across multiple programming environments.

This role is well suited to engineers who excel at solving complex technical problems, improving existing software, and making informed architectural decisions. Candidates should be comfortable working independently, adapting to unfamiliar codebases, and communicating technical concepts with clarity. Prior experience in artificial intelligence is not required.

The work includes software enhancement, system optimization, debugging, feature delivery, and code quality improvements, where strong engineering judgment and attention to performance, scalability, and maintainability are essential.

Responsibilities

• Diagnose and resolve complex software defects.
• Develop and implement new application features.
• Refactor existing code to improve readability, maintainability, and long-term performance.
• Optimize applications for speed, scalability, and resource efficiency.
• Review software architecture and recommend technical improvements.
• Analyze algorithms and system performance to identify optimization opportunities.
• Produce clear technical documentation and implementation rationale.
• Participate in engineering discussions and technical reviews.
• Contribute software expertise to support AI evaluation and development initiatives.

Requirements

• Extensive professional experience in software engineering.
• Strong proficiency in Python 3, Java, Rust, or TypeScript.
• Experience with C++ or Go is considered an advantage.
• Solid understanding of algorithms, data structures, and software design principles.
• Proven experience with debugging, feature development, and large-scale codebase maintenance.
• Ability to improve application performance and system scalability.
• Strong analytical, problem-solving, and communication skills.
• Comfortable working in remote, collaborative engineering environments.
• Experience with distributed systems or enterprise-scale applications is preferred.
• Familiarity with software architecture reviews and engineering best practices is preferred.
• Exposure to AI or machine learning projects is beneficial but not required.
• Experience using AI-assisted development tools such as ChatGPT or GitHub Copilot is considered an asset.