AI Engineer
Champions Funding LLC
Date: 2 days ago
City: Gilbert, AZ
Contract type: Full time
Remote
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.
- 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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