AI Engineer

Champions Funding LLC • Full-time • Remote (Gilbert, AZ, US) • 3w ago

Description

Develop end-to-end Generative AI solutions, from data ingestion to production deployment, with a focus on mortgage industry applications.
Fine-tune, evaluate, and optimize large language models (LLMs) for use cases such as automated document classification, loan condition generation, and borrower communication support.
Integrate AI into enterprise workflows to automate routine tasks, enhance underwriting decision support, and improve broker and borrower engagement.
Design and implement RAG pipelines using vector databases to power intelligent knowledge search for guidelines, pricing, and compliance references.
Leverage Azure AI Foundry, AI Services, Model Catalog, Agents, Guardrails, and App Services to deliver secure, scalable AI tools for lending operations.
Apply emerging AI research and tools where they create measurable value in loan processing, compliance monitoring, and risk assessment.
Ensure AI solutions align with MLOps best practices, emphasizing scalability, maintainability, and regulatory compliance.
Collaborate with Operations, Compliance, and IT teams to identify automation opportunities and drive AI adoption across the organization.
Develop, document, and refine prompt engineering strategies and multi-agent system workflows for mortgage-specific applications.
Maintain strict adherence to industry regulations, security protocols, and data governance requirements.

Requirements

Ability to independently execute the complete AI solution development lifecycle.
Hands-on experience with large language models (preferably Azure OpenAI) and frameworks such as LangChain or Semantic Kernel.
Practical expertise with Azure AI Foundry, AI Services, Model Catalog, Agents, Guardrails, and App Services.
Strong Python programming skills and familiarity with machine learning engineering best practices.
Proven track record of transitioning AI solutions from prototype to production in enterprise environments.
Experience with vector databases and RAG architectures.
Cloud AI expertise (Azure or AWS) with a strong understanding of infrastructure and deployment strategies.
Familiarity with prompt engineering, multi-agent systems, and advanced LLM orchestration.
Understanding of MLOps, AI security, and compliance in regulated industries; mortgage or financial services industry experience is a plus.

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