Director, Generative and Agentic AI Engineering

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September 20

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AmeriSave Mortgage Corporation

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Finance • Real Estate

AmeriSave Mortgage Corporation is a leading online mortgage lender offering a variety of home financing solutions, including first and second mortgages, home equity loans, and refinancing options. With 20 years of mortgage experience, AmeriSave has served over 733,603 borrowers across 49 states in the U. S. The company prides itself on providing easy and fast mortgage processes with access to quick quotes and approvals, low rates, and secure rate locks. AmeriSave is committed to helping its clients achieve financial freedom and better financial positions through responsible home equity usage and effective mortgage solutions. The company is well-regarded for its excellent customer service and accessibility, offering support in multiple languages and emphasizing easy online interactions for customer convenience.

5001 - 10000 employees

Founded 2002

💸 Finance

🏠 Real Estate

📋 Description

• Lead the design, development, and deployment of enterprise-grade Gen AI and agentic AI applications • Architect and deploy Gen AI applications using LLMs and agentic frameworks for mortgage lending use cases • Build and optimize Retrieval-Augmented Generation (RAG) pipelines with hybrid retrieval, semantic chunking, and vector search • Integrate AI solutions with Azure OpenAI, GCP Vertex AI, and other cloud-native services • Work with unstructured data (PDFs, HTML, audio, images) and multimodal models • Implement LLMOps practices including prompt versioning, caching, observability, and cost tracking • Partner with product managers, data engineers, and UX teams to deliver scalable, user-centric solutions • Mentor engineers, lead technical design reviews, and contribute to long-term AI strategy • Continuously assess emerging Gen AI technologies (e.g., Gemini, Claude, open-source models) to identify best-in-class solutions

🎯 Requirements

• 8+ years in software engineering or data science • 3+ years in Gen AI or LLM-based systems • Strong programming skills in TypeScript, Python, or similar languages • Experience with REST API development, containerization, and cloud platforms (Azure, GCP) • Experience with Azure OpenAI and GCP Vertex AI • Deep understanding of AI governance, model safety, and prompt engineering • Experience with LLMOps practices including prompt versioning, caching, observability, and cost tracking • Proven ability to lead teams and deliver enterprise-grade AI applications • Excellent communication, collaboration, and problem-solving skills • Bonus: Experience with BytePro LOS and Asterisk telephony systems • Bonus: Familiarity with mortgage compliance frameworks such as HMDA, TRID, RESPA, and ECOA • Bonus: Experience with rules engines such as FICO Blaze Advisor, IBM Operational Decision Manager (ODM), or Red Hat Decision Manager • Bonus: Experience in fintech, lending, or mortgage tech • Bonus: Contributions to open-source Gen AI or document AI projects • Bonus: Knowledge of compliance workflows (e.g., KYC, income verification) • Bonus: Experience with multimodal AI and agentic frameworks

🏖️ Benefits

• 401(k) • Dental insurance • Disability insurance • Employee discounts • Health insurance • Life insurance • Paid time off • 12 paid holidays per year • Paid training • Referral program • Vision insurance • Referral bonuses