Quickenloans
Software Engineer (Agentic AI Applications)
Detroit, MI
Sponsorship not specifiedDetected 10 hours ago
JavaScriptPythonJavaC#AngularFull-Stack DevelopmentCode ReviewAWSAzureCloud PlatformsKubernetesCI/CDLLMsRAGAgentic AILangGraphAI OrchestrationCommunicationMentoring
About the role
- Contribute to agentic AI capabilities such as agent orchestration, tool calling, retrieval-augmented workflows, and LLM-powered features.
Responsibilities
- As a Software Engineer, you will help build and scale a newly launched AI-first product with direct revenue impact.
- You'll work closely with engineers, product partners, and business stakeholders across distributed teams.
Requirements
- 2+ years of professional software development experience.
- Experience contributing to full-stack applications across frontend, backend, APIs, or data integrations.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
Nice to have
- 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.
- What y ou'll g et
- Simply put: We've got your back.
- On-Call Expectations
- If applicable, frequency and scheduling will be determined by team needs and communicated accordingly.
Benefits
- building features across the stack, deploying to production, and learning from real usage.
- 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.
- Check out our full list of Benefits and Perks.
Company info
- 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 use it as a core part of how you design, code, test, debug, review, and ship software.
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This listing is sourced directly from Quickenloans's careers page and normalized into a canonical job model.