Staff Software Engineer (Core Servicing Platform)
- Compensation
- Not disclosed
- Location
- Detroit, MI
- Work setup
- Not specified
- Seniority
- Staff
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 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 have
- 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.
Full 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 role
- 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 you
Minimum Qualifications
- Bachelor's or higher in Computer Science or a related field.
- 8+ years in professional software engineering roles.