Note: The job is a remote job and is open to candidates in USA. Rocket is a Detroit-based company that provides simple, fast, and trusted digital solutions for complex transactions. They are seeking a Software Engineering Manager to lead a team building agentic AI applications that directly impact revenue by enhancing client communications in mortgage banking. The role involves hands-on engineering leadership, technical strategy ownership, and team development in an AI-driven environment.
Responsibilities
- Lead a team of engineers building agentic AI capabilities such as agent orchestration, tool calling, retrieval-augmented workflows, and LLM-powered features
- Stay hands-on: contribute to architecture, write and review code, and build critical components alongside the team
- Own the technical strategy for the platform, balancing speed, scalability, maintainability, and business impact
- Set the standard for evaluation, observability, and guardrails for AI agents, ensuring reliability, safety, and measurable quality in production
- Hire, coach, and grow engineers, giving clear feedback and creating real growth paths for the team
- Partner with product, design, data, and business stakeholders to set priorities and translate ambiguous business needs into a clear roadmap
- Define how the team works: engineering practices, AI-native development workflows, code review culture, and delivery cadence
- Lead collaboration across distributed engineering teams, including partners in India
Skills
- 8+ years of professional software development experience, including 2+ years leading engineers as a manager or tech lead
- Strong hands-on experience building production software in languages such as C#, Java, Python, JavaScript, or TypeScript
- Experience designing and operating full-stack systems across frontend, backend, APIs, and data integrations on cloud platforms such as AWS, Azure, or Google Cloud
- Track record of hiring, coaching, and growing engineers
- Experience owning technical strategy or architecture for a product or platform
- Demonstrated ability to work with product and business stakeholders to set priorities and deliver outcomes
- Hands-on experience building with agentic AI frameworks (e.g., LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar), LLM APIs, or Model Context Protocol (MCP) tool integrations
- Experience with LLM application patterns such as retrieval-augmented generation (RAG), agent evaluation harnesses, guardrails, or production monitoring of AI behavior
- Experience leading a team through AI-native ways of working, such as AI coding agents, AI-assisted reviews, or multi-agent workflows
- Experience building or leading a team in a greenfield or newly formed product environment
- Experience with AWS, Kubernetes, CI/CD, automated testing, and production operations
Benefits
- Annual bonus
- Incentives
- Medical benefits
- Dental benefits
- Vision benefits
- 401K retirement plan
- Paid-time off
Company Overview