AI Software Engineer

Founded in Richmond, Virginia in 1997, CapCenter exists to help individuals and families achieve one of life's most meaningful milestones—homeownership. 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 CapCenter, 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.

Cloud Infrastructure & Deployment

• 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 DevOps or GitHub 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 ID (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.

Model Development & Optimization

• Train, fine-tune, or customize AI models to improve accuracy, performance, and relevance to mortgage workflows.
• Implement continuous monitoring, versioning, and quality checks for AI models in production.
• Evaluate emerging AI technologies and recommend adoption paths for the organization.

Technical Leadership & Best Practices

• Establish development standards for AI-enabled software, including testing strategies, documentation, and model governance.
• Provide guidance on responsible AI usage, data protection, and fair lending considerations in all deployments.
• Contribute to long-term AI strategy to modernize the company’s tech stack and customer experience.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience).
• 3–5+ years of software engineering experience building web or backend applications.
• Hands-on experience with machine learning or generative AI tools (OpenAI, Anthropic, HuggingFace, LangChain, vector databases, etc.).
• Proficiency in languages such as Python, TypeScript/JavaScript, or C#.
• Strong working knowledge of Microsoft Azure, including hands-on experience deploying, securing, and operating production workloads (compute, networking, identity, storage, and Key Vault).
• Solid experience with containers and Kubernetes (preferably AKS), including deployments, services, ingress, config/secrets, autoscaling, and debugging workloads with kubectl.
• Experience building and maintaining CI/CD pipelines for containerized applications.
• Understanding of APIs, microservices, and modern software architecture patterns.

Preferred

• Experience in fintech or mortgage/lending systems.
• Familiarity with mortgage workflows: LOS, POS, underwriting, rate/pricing engines, and compliance considerations.
• Microsoft Azure certifications (e.g., AZ-204 Developer, AZ-104 Administrator, AZ-305 Solutions Architect, or AI-102 AI Engineer) and/or Kubernetes certifications (CKA or CKAD).
• Experience with infrastructure-as-code (Terraform or Bicep) and GitOps or Helm-based deployment workflows.
• Experience deploying and scaling AI/LLM workloads on Azure (Azure OpenAI, AI Foundry, or self-hosted models on AKS).
• Knowledge of MLOps tools and frameworks for model deployment.
• Experience building customer-facing digital experiences.

Key Competencies

• Strong problem-solving skills with the ability to map operational processes to technical solutions.
• Ability to work cross-functionally and communicate complex concepts to non-technical teams.
• Ownership of systems in production, from architecture through deployment, monitoring, and incident response.
• Curiosity and eagerness to explore new AI capabilities.
• Commitment to data security, fair lending, and responsible AI use.

Compensation

The estimated range of $90,000 – $115,000 reflects the budgeted amount for this position. Individual compensation will be determined based on job-related business considerations, such as relevant qualifications, experience, location, education, certifications, skills, and other job-related reasons. Where applicable, this position is eligible for incentive compensation and/or discretionary bonus opportunities.

Benefits

CapCenter offers a comprehensive benefits package, including medical, dental, vision, life insurance, a 401(k) plan with company match, paid vacation, paid holidays, and other programs designed to support the well-being and professional growth of our employees.

Physical Requirements And Work Environment

Work is primarily performed in a professional office environment and may involve extended periods of sitting, computer use, keyboarding, and telephone or virtual communication. The position may require managing competing priorities, responding to time-sensitive matters, maintaining accuracy and attention to detail, and working effectively in a fast-paced environment.

Reasonable Accommodation

As required by law, reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions of the position.

Equal Opportunity Employer

CapCenter is an Equal Opportunity Employer (Veteran/Disability). All qualified applicants will be considered regardless of race, color, national origin, age, religion, sex, sexual orientation, gender identity, or any other status protected by applicable federal, state, or local law.