What You’ll Do

Focus on crafting production-level code that is clean, modular, and thoroughly documented, while strictly adhering to coding standards and best practices.

Make AI a natural extension of your engineering practice, proactively exploring and implementing new AI applications across development workflows to increase velocity and quality.

Engage in collaborative efforts to define and document requirements, ensuring clarity, task breakdown, and accurate time estimates.

Optimize and iterate on prompts and agentic workflows to reduce friction in the SDLC; analyze usage patterns to maximize value and share these findings to help the team measure AI impact.

Engage in research and the creation of proofs of concept to support reliable implementation plans, including the instruction of single and multi-agent systems to execute complex, multi-step workflows in sequence.

Take a leadership role in sprint refinement and planning sessio...