Teams at G2i

Evaluate AI coding-agent interactions for usefulness, correctness, engineering judgment, reasoning quality, and developer trust. Provide clear, opinionated feedback, distinguish response-quality levels, and help define standards for excellent interactions with tools such as OpenAI Codex, Claude Code, and Cursor. This contract role requires staff- or principal-level software engineering experience and familiarity with modern AI-assisted development workflows.

Recruit software engineers at high volume for rapidly assembled frontier AI lab project teams. Responsibilities include screening and interviewing backend, frontend, and full-stack candidates; pitching opportunities; accelerating candidates through hiring processes; activating talent pipelines; sourcing creatively; and meeting aggressive hiring targets. The role is fully remote and requires flexibility during project kickoffs.

Own the roadmap for an AI-powered document intelligence platform. Translate client and reviewer needs into technical requirements, user stories, business rules, and measurable acceptance criteria. Coordinate priorities across data engineering, data science, backend, search, and frontend teams. Define document-processing and review workflows, evaluate model quality, diagnose platform issues, manage releases and demos, and measure accuracy, completeness, latency, reliability, adoption, reviewer effort, and cost.