AI Software Engineer

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Full Time Professional Glen Allen, VA, US

3 days ago Requisition

Founded in Richmond, Virginia in 1997, Cap Center exists to help individuals and families achieve one of life's most meaningful milestones—home ownership. By bringing mortgage, realty, and insurance services together under one roof, we provide a simpler, more transparent experience designed to save clients time and money. Our commitment to innovation, including our Zero Closing Cost mortgage, has earned the trust of thousands of clients and fueled our growth through repeat business and referrals.

At Cap Center, our mission extends beyond serving clients. We foster a collaborative, high-impact environment where employees are empowered to do meaningful work, grow professionally, and make a real difference in the lives of the people we serve.

Job Overview:

We are seeking an innovative AI Software Engineer to design, build, and deploy advanced software solutions that transform both internal mortgage operations and external customer experiences. This role combines software engineering, artificial intelligence, cloud-native infrastructure, and mortgage-industry problem-solving to deliver tools that increase efficiency, enhance customer engagement, and support data-driven decision-making across the organization.

Key Responsibilities:

AI-Driven Software Development

• Architect, develop, and deploy AI-powered applications for internal operations (e.g., loan processing tools, underwriting automation, compliance checks, workflow optimization).
• Build customer-facing and marketing-facing software such as intelligent chat assistants, personalized loan recommendation engines, automated prequalification tools, and interactive calculators.
• Integrate AI models (LLMs, predictive models, generative AI) into new or existing products using modern development frameworks and APIs.
• Design, deploy, and operate applications on Microsoft Azure, using services such as Azure Kubernetes Service (AKS), App Service, Azure Functions, Azure SQL, Storage, Key Vault, and Azure OpenAI / AI Foundry.
• Containerize applications with Docker and run them on Kubernetes. This includes writing and maintaining manifests and Helm charts, and managing deployments, scaling, ingress, secrets, and resource limits.
• Build and maintain CI/CD pipelines (Azure Dev Ops or Git Hub Actions) that take code from commit to production reliably and repeatably.
• Manage cloud resources with infrastructure-as-code (Terraform, Bicep, or ARM templates).
• Implement monitoring, logging, and alerting (Azure Monitor, Application Insights, Log Analytics) to keep production AI services healthy, and troubleshoot cluster and application issues when they come up.
• Apply cloud security best practices, including Entra  (Azure AD) identity and role-based access, managed identities, network isolation, and secure secrets handling. All of this should meet the data-protection requirements for sensitive borrower information.
• Optimize cloud cost and performance for AI workloads, including model hosting, inference scaling, and GPU/compute usage.

Collaborative Product Engineering

• Partner with operations, loan officers, compliance, marketing, and customer experience teams to identify high-impact use cases for AI and translate them into scalable products.
• Work closely with data engineering to source, prepare, and validate datasets used for model training and evaluation.
• Develop secure, compliant, and well-documented systems aligned with mortgage regulatory requirements.
• Train, fine-tune, or customize AI models to improve accuracy, performance, and relevance to…