Job description

As a Staff Software Engineer within the core servicing platform, you ll build the tools and infrastructure that make every engineer in the vertical faster, sharper, and more capable. The core servicing platform is the team behind the core systems that power our servicing business at scale — and as we drive a major re-platforming initiative toward modern, scalable, and resilient solutions that support long-term growth and innovation. You ll guide strategy, set technical direction and solve complex, cross team problems. You are a force multiplier by enabling engineers, and elevating team skills. You design and build the autonomous AI-development infrastructure - the harnesses, scaffolding, context engineering systems, and workflow automation Staff Software Engineers are senior individual contributors who drive meaningful, cross-team technical impact through deep technical execution and hands-on leadership. Staff Engineers are the most effective builders on the team: they tackle the hardest implementation problems, establish patterns through working code, and raise the technical floor for engineers around them. In the Agentic Engineering Systems role, this means designing and delivering the context engineering infrastructure, AI harness frameworks, and developer automation that enable the core servicing platform s engineering teams to work at a new level of velocity - directly supporting the re-platforming initiative and its goals of modern, scalable, resilient solutions. About the r ole Design and build AI harness and scaffolding systems that operationalize AI coding tools (Claude Code, GitHub Copilot, and others) across the core servicing platform s engineering workflows. Architect and implement context engineering infrastructure - prompt systems, context retrieval patterns, knowledge packaging, and evaluation frameworks that make AI tools accurate and trustworthy at scale. Build workflow automation that integrates AI assistance into CI/CD pipelines, code review, testing, and developer feedback loops. Develop reusable tooling, templates, and frameworks that teams across the vertical can adopt without requiring deep AI expertise. Work directly with engineers across the core servicing platform to understand real workflow friction, then build tooling that eliminates it. Stay current on the rapidly evolving AI developer tooling landscape and bring forward-looking recommendations grounded in practical applicability, informed by the platform s re-platforming roadmap. About y ou Minimum Qualifications Bachelor s or higher in Computer Science or a related field. 8 years in professional software engineering roles. Demonstrated experience building developer tooling, automation systems, or AI-assisted workflow infrastructure in a production engineering environment. Preferred Qualifications Hands-on expertise building context engineering systems - including prompt architecture, retrieval-augmented generation patterns, and evaluation harnesses for LLM-powered tooling. Deep practical experience with AI coding tools (Claude Code, GitHub Copilot, Cursor, or equivalents) and the ability to extend and customize them for team-scale deployment. Strong engineering fundamentals, with experience building developer tooling and CI/CD pipeline integrations. Strong communication skills and the ability to translate engineer workflow needs into durable tooling. What y ou’ll g et Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We’ve got your back. Check out our full list of Benefits and Perks. On-Call Expectations This role may include participation in an on-call rotation to support production systems and ensure service reliability. On-call responsibilities may include coverage during nights and weekends. If applicable, frequency and scheduling will be determined by team needs and communicated accordingly. About u s Rocket is a Detroit-based company made up of businesses that provide simple, fast and trusted digital solutions for complex transactions. The name comes from our flagship business, now known as Rocket Mortgage®, which was founded in 1985. Today, we’re a publicly traded company involved in many different industries, including mortgages, fintech, real estate and more. We’re insistently different in how we look at the world and are committed to an inclusive workplace where every voice is heard. Apply today to join a team that offers career growth, amazing benefits and the chance to work with leading industry professionals. This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the c ompany at any time.  Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law.  The c ompany provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws.  Applicants requiring reasonable accommodations in completing the application and/or participating in the application process should contact a member of the Human Resources team, at Careers Rocket.com .

Requirements

Must-haves

About the r ole
Design and build AI harness and scaffolding systems that operationalize AI coding tools (Claude Code, GitHub Copilot, and others) across the core servicing platform s engineering workflows.
Architect and implement context engineering infrastructure - prompt systems, context retrieval patterns, knowledge packaging, and evaluation frameworks that make AI tools accurate and trustworthy at scale.
Build workflow automation that integrates AI assistance into CI/CD pipelines, code review, testing, and developer feedback loops.
Develop reusable tooling, templates, and frameworks that teams across the vertical can adopt without requiring deep AI expertise.
Work directly with engineers across the core servicing platform to understand real workflow friction, then build tooling that eliminates it.
Stay current on the rapidly evolving AI developer tooling landscape and bring forward-looking recommendations grounded in practical applicability, informed by the platform s re-platforming roadmap.
About y ou
Bachelor s or higher in Computer Science or a related field.
8 years in professional software engineering roles.
Demonstrated experience building developer tooling, automation systems, or AI-assisted workflow infrastructure in a production engineering environment.

Nice-to-haves

Hands-on expertise building context engineering systems - including prompt architecture, retrieval-augmented generation patterns, and evaluation harnesses for LLM-powered tooling.
Deep practical experience with AI coding tools (Claude Code, GitHub Copilot, Cursor, or equivalents) and the ability to extend and customize them for team-scale deployment.
Strong engineering fundamentals, with experience building developer tooling and CI/CD pipeline integrations.
Strong communication skills and the ability to translate engineer workflow needs into durable tooling.
What y ou’ll g et
On-Call Expectations

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aici/cdllmgo

Platform: workday
Effort: long