Software Engineer (Agentic AI Applications)

Rocket Companies•Detroit, MI

About The Position

As a Software Engineer, you will help build and scale a newly launched AI-first product with direct revenue impact. Our platform analyzes client communications and engagement signals to help mortgage bankers, the sales professionals who guide clients through home financing, focus on the clients most likely to convert. You'll build agentic AI applications: systems where agents reason, plan, use tools, and act on their own to drive real business outcomes. This role is for an engineer who wants to ship real product: building features across the stack, deploying to production, and learning from real usage. AI is not a side tool here. You'll use it as a core part of how you design, code, test, debug, review, and ship software. You'll work closely with engineers, product partners, and business stakeholders across distributed teams. The ideal candidate is curious, driven, comfortable asking questions in ambiguous situations, and excited to build a career at the front edge of AI-native engineering. This is a rare setup. You get the pace and greenfield energy of an early-stage startup, backed by the stability, resources, and built-in distribution of an established company. The product just launched, usage is growing, and the systems are still being shaped. Engineers joining now get outsized ownership, mentorship from senior engineers invested in their growth, and learning opportunities that are hard to find at this career stage. As the product and team grow, so does the opportunity: a clear path to senior, real architectural exposure, and the chance to build AI-native engineering skills that are in high demand. You'll also get access to frontier AI development tools, including AI coding agents like Claude Code, as a core and funded part of how the team works.

Requirements

2+ years of professional software development experience.
Experience building production software in languages such as C#, Java, Python, JavaScript, or TypeScript.
Experience contributing to full-stack applications across frontend, backend, APIs, or data integrations.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
Solid grasp of software design fundamentals, testing, and writing maintainable code.
Ability to communicate clearly and collaborate effectively across teams.

Nice To Haves

Hands-on experience with LLM APIs, agentic AI frameworks (e.g., LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar), or Model Context Protocol (MCP) tool integrations.
Exposure to LLM application patterns such as retrieval-augmented generation (RAG), prompt engineering, or evaluating AI output quality.
Hands-on usage of AI tools in your development workflow, such as AI coding agents, AI-assisted reviews, or prompt-driven development.
Experience with AWS, Kubernetes, CI/CD, or automated testing.

Responsibilities

Build and ship full-stack features from design through implementation, release, measurement, and iteration.
Contribute to agentic AI capabilities such as agent orchestration, tool calling, retrieval-augmented workflows, and LLM-powered features.
Help build evaluation, observability, and guardrail mechanisms for AI agents, ensuring reliability, safety, and measurable quality as agent behavior translates into product functionality.
Implement scalable backend and frontend solutions using technologies such as C#, Python, Angular, AWS, and Kubernetes.
Work with product, design, data, and senior engineers to turn requirements into reliable, well-tested solutions.
Participate in code reviews, design discussions, and team practices that raise the quality bar.
Collaborate effectively across distributed engineering teams, including partners in India.