AI Solutions Engineer at CAPITAL CENTER LLC

Glen Allen, Virginia, United States -

Full Time

Start Date

Immediate

Expiry Date

05 Jun, 26

Salary

0.0

Posted On

07 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Building, Problem Solving, Persistence, Communication, Claude Code, Python, JavaScript, APIs, AI Tools, Automation, Adaptability

Industry

Real Estate

Description

About This Role This isn't a traditional engineering role where you'll receive detailed specifications and build to order. We're looking for someone who digs into problems firsthand—someone who asks "why" until they truly understand what's broken, then builds the solution themselves. If you've ever been frustrated by the gap between people who understand the customer and people who can build technology, this role exists because we share that frustration. We want someone who can do both. What You'll Do You'll use AI tools—particularly Claude Code and the Claude platform—to build solutions that solve real problems in mortgage lending. Not proofs of concept. Real tools that people use every day. Examples of problems you might tackle: * Loan conditions arrive from Fannie Mae, Freddie Mac, VA, and FHA in different formats. Loan officers spend hours reconciling them. Build something that consolidates and deduplicates them automatically. * Underwriters spend significant time on tasks that could be automated, but "that's how it's always been done." Identify which tasks, understand why, and build the automation. * Compliance requirements evolve constantly. Build systems that can adapt without requiring lengthy development cycles. You won't always be handed a clear spec. You'll often be handed a problem—sometimes a vague one—and expected to dig in until you understand it well enough to solve it. What We're Looking For Required: * You can build working software. You don't need a team of engineers to ship something useful. Claude Code, Python, JavaScript, APIs—you're comfortable getting hands-on. * You go deep on problems. When someone says "we need a dashboard," you ask what decision they're trying to make. When they say "it takes too long," you ask how long, why, and what happens as a result. * You're persistent. You don't hear "that's not possible" and stop there. You get curious and look for another way. * You communicate well across audiences. Executives, loan officers, underwriters, compliance teams—you can work with all of them effectively. Preferred: * Bachelor's degree in Business, Computer Science, or related field * Experience in mortgage lending, financial services, or another regulated industry * Hands-on experience with AI coding tools (Claude Code, Copilot, Cursor, or similar) * Background that spans both business and technical work—perhaps you started in analysis and taught yourself to code, or you're an engineer who consistently finds yourself thinking about the customer problem What matters most: We care less about your pedigree and more about your ability to solve problems and work well with others while doing it. Why This Role Exists We're a 200-person mortgage lending organization, and we believe AI is going to fundamentally change how our industry operates—not by replacing people, but by making our people dramatically more effective. We're moving away from the traditional model where business teams write requirements, hand them to engineers, and hope the result matches the intent. We want to build a team of people who can understand the problem deeply and build the solution directly. Fewer handoffs. Faster iteration. Better outcomes. If that resonates with you, we'd like to talk. We offer a competitive compensation package to include base salary, medical, dental and life insurance benefits, 401K, and paid vacation. We do not discriminate against applicants/employees on any protected basis and are an Equal Opportunity Employer: Veteran/Disability.

Responsibilities

The role involves using AI tools, particularly Claude Code and the Claude platform, to build functional solutions for real problems within mortgage lending, such as consolidating loan conditions and automating underwriter tasks. The engineer is expected to deeply investigate vague problems and build direct solutions rather than working from detailed specifications.