Senior AI Engineer

Who are we?

• Iterate to evolve
• Cultivate openness
• Act with accountability
• Assume the best
• Practice humility
• Deliver amazing experiences
• Own the product backlog for Kuali Research, ensuring clarity, prioritization, and alignment with strategic goals.
• Translate customer feedback, institutional requirements, and product vision into actionable user stories and acceptance criteria.
• Collaborate daily with engineering and design teams to ensure timely, high‑quality delivery.
• Partner with Product Managers to refine roadmap priorities and validate outcomes against customer needs.
• Support release planning, sprint reviews, and retrospectives to drive continuous improvement.
• Serve as the voice of the customer within the scrum team, ensuring solutions meet real‑world research administration challenges.
• Monitor product performance and collaborate on data‑driven decisions to enhance usability and adoption.
• 3+ years of experience in product ownership, business analysis, or software delivery.
• Strong understanding of Agile/Scrum principles and backlog management.
• Excellent communication and collaboration skills across technical and non‑technical teams.
• Ability to translate complex workflows into clear, actionable requirements.
• Passion for improving research administration processes and higher‑education outcomes.
• 6+ years of professional software engineering experience, including significant ownership of production SaaS systems.
• Demonstrated mastery of agentic software development as a primary delivery practice, including designing reusable agent workflows, skills, and evaluation approaches.
• Deep proficiency across the modern web stack: JavaScript/TypeScript, React, Node.js, API design (REST and/or GraphQL), relational and document data stores.
• Strong distributed systems, cloud architecture (AWS), and CI/CD experience.
• Demonstrated ownership of production services, including on-call leadership and incident command.
• Track record of mentoring engineers.
• Exceptional written and verbal communication.
• Experience with Elixir, Kafka or comparable streaming technologies, and event-driven architecture.
• Experience shipping and operating LLM-backed product features at enterprise scale, including evaluation harnesses and guardrails.