Full Stack AI Software Engineer

Full Stack AI Software Engineer @ Freedom Mortgage | Jobright.ai

Full Stack AI Software Engineer jobs in United States

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Freedom Mortgage · 5 days ago

Full Stack AI Software Engineer

United States

Full-time

Remote

Senior Level

5+ years exp

Freedom Mortgage is a mortgage lending company seeking a Full Stack AI Software Engineer to design, build, deploy, secure, and continuously improve enterprise software and AI-enabled applications. The role translates business needs into scalable full-stack solutions, develops AI capabilities using large language models and agentic workflows, owns applications throughout their lifecycle, and mentors other engineers.

FinanceProperty & Casualty InsuranceLendingFinancial ServicesInsuranceMortgage

H1B Sponsor Likely

Responsibilities

Partner directly with business stakeholders to understand operating processes, identify root problems, define measurable outcomes, and engineer effective technical solutions

Translate ambiguous business needs into clear functional requirements, technical designs, user stories, acceptance criteria, and production-ready software

Work interactively with users through rapid prototyping, demonstrations, feedback sessions, and iterative releases

Build new applications and enhance existing platforms across the frontend, backend, application programming interface, integration, data, and infrastructure layers

Develop intuitive, accessible, responsive, and high-performing user experiences

Design reusable services, components, APIs, workflows, and integration patterns

Make thoughtful build-versus-buy and configuration-versus-custom-development recommendations

Balance delivery speed with security, reliability, maintainability, scalability, and long-term architectural integrity

Use modern AI engineering tools throughout the software development lifecycle to improve development speed, quality, testing, documentation, and maintainability

Design and implement AI-enabled capabilities using large language models, retrieval-augmented generation, embeddings, vector search, structured outputs, tool calling, multimodal models, and agentic workflows

Build AI agents that can securely interact with applications, APIs, databases, documents, and enterprise systems

Develop effective prompts, system instructions, context-management strategies, tool definitions, workflows, and reusable AI skills

Evaluate and select appropriate models based on accuracy, latency, security, cost, reliability, and business requirements

Implement model evaluations, regression tests, guardrails, human-review controls, grounding, observability, and fallback mechanisms

Identify and mitigate hallucination, prompt-injection, data-leakage, model-bias, unsafe-output, and unauthorized-tool-use risks

Measure AI solutions using defined quality, accuracy, safety, performance, adoption, and business-value metrics

Maintain awareness of rapidly evolving AI models, development tools, frameworks, security risks, and engineering practices

Own software delivery from initial discovery and architecture through development, testing, deployment, production support, and continuous improvement

Write clean, modular, testable, secure, and well-documented production code

Develop and maintain unit, integration, API, user-interface, regression, performance, security, and end-to-end automated tests

Use AI-assisted testing and automation tools while independently validating generated code and test results

Participate in peer reviews, design reviews, architecture reviews, threat modeling, and release-readiness assessments

Build and maintain continuous integration and continuous delivery pipelines

Release software through safe, incremental, observable, and reversible deployment practices

Ensure that functional requirements and acceptance criteria are demonstrably satisfied before production release

Serve as the accountable engineer or technical owner for up to three assigned applications

Maintain a clear understanding of each application’s architecture, business purpose, users, integrations, data flows, dependencies, risks, and operational requirements

Monitor application availability, performance, capacity, security, errors, and user experience

Diagnose and resolve production incidents, defects, integration failures, and performance issues

Perform routine maintenance, framework and dependency upgrades, operating-system or platform updates, certificate renewals, configuration changes, and technical-debt remediation

Patch application and infrastructure vulnerabilities within established remediation timelines

Maintain current application documentation, support procedures, runbooks, architecture diagrams, data-flow diagrams, deployment instructions, and recovery procedures

Participate in incident response, root-cause analysis, corrective-action planning, disaster-recovery testing, and business-continuity exercises

Recommend modernization, re-platforming, consolidation, or retirement when an application no longer meets business or technical standards

Work closely with the Information Security team to implement secure coding standards, identity and access controls, encryption, secrets management, vulnerability management, logging, monitoring, and regulatory controls

Partner with Enterprise Architecture to ensure solutions align with approved technology standards, integration patterns, cloud strategies, and target-state architecture

Collaborate with enterprise database and data-management teams on data models, storage patterns, data quality, lineage, retention, privacy, and performance

Coordinate with IT Support and operations teams to ensure applications can be effectively monitored, supported, maintained, and recovered

Work with infrastructure, cloud, network, identity, DevOps, quality-assurance, product, legal, risk, and compliance teams as required

Clearly communicate technical decisions, constraints, risks, tradeoffs, progress, and recommendations to both technical and nontechnical audiences

Follow established software-development lifecycle, change-management, security, architecture, data-governance, and release-management standards

Ensure applications comply with applicable legal, regulatory, privacy, records-management, accessibility, and industry requirements

Maintain traceability between business requirements, technical designs, code changes, tests, approvals, and releases

Protect confidential, proprietary, customer, and regulated data throughout the development and production lifecycle

Ensure AI-generated code and content are reviewed, tested, licensed appropriately, and treated with the same rigor as human-created work

Contribute reusable engineering patterns, libraries, templates, prompts, skills, development standards, and lessons learned to the broader engineering organization

Mentor other engineers and help raise the organization’s standards for AI-enabled software delivery

Performs other related duties as assigned

Comply with all company policies and procedures

Maintain regular and punctual attendance

Qualification

Full-Stack Software DevelopmentPythonJavaScript/TypeScriptReactRESTful APIsMicroservicesSQLRelational DatabasesVector DatabasesLarge Language ModelsAI Agent DevelopmentRetrieval-Augmented GenerationGitAutomated TestingContinuous Integration/Continuous DeliveryAWSMicrosoft AzureGoogle Cloud PlatformInfrastructure as CodeKubernetesApplication SecurityVulnerability RemediationLangGraphSemantic KernelOpenAI Agents SDKMortgage Lending

Required

Five or more years of professional software-engineering experience across the design, development, testing, deployment, and support of production applications

At least two to three years of professional experience in engineering software using modern AI-assisted engineering tools and AI development practices

Demonstrated ability to build and support full-stack applications from concept through production

Strong proficiency in at least one modern backend language, such as Python, Java, C#, Go, or TypeScript/Node.js

Strong proficiency with modern frontend development using JavaScript or TypeScript and a framework such as React, Angular, or Vue

Experience designing and consuming RESTful APIs, event-driven services, microservices, and enterprise integrations

Experience with relational databases, SQL, data modeling, and at least one modern nonrelational or vector-database technology

Practical experience integrating large language models or generative-AI services into production or enterprise applications

Experience with AI coding tools such as Cursor, Claude Code, GitHub Copilot, OpenAI Codex, or comparable platforms

Experience with Git-based source control, automated testing, code review, continuous integration, continuous delivery, and modern DevOps practices

Experience deploying and operating applications in a major cloud environment such as AWS, Microsoft Azure, or Google Cloud Platform

Working knowledge of containers, infrastructure as code, observability, application security, and vulnerability remediation

Strong understanding of secure software-development principles, including authentication, authorization, encryption, secrets management, dependency management, and common application-security risks

Demonstrated ability to work directly with business users, understand workflows, challenge assumptions constructively, and convert business problems into working software

Strong analytical, troubleshooting, communication, collaboration, and documentation skills

Ability to independently manage multiple priorities and maintain ownership of up to three applications

Bachelor's or master's degree in computer science, software engineering, information systems, data science, artificial intelligence, or a related discipline, or equivalent practical experience

Preferred

Experience building AI agents, retrieval-augmented generation solutions, semantic-search applications, document-processing systems, or workflow automation

Experience with model-evaluation frameworks, prompt testing, AI observability, red-team testing, and responsible-AI controls

Experience with frameworks or platforms such as LangGraph, Semantic Kernel, OpenAI Agents SDK, model context protocol, or comparable orchestration technologies

Experience with Kubernetes, serverless architectures, messaging platforms, API gateways, and distributed systems

Experience working in a regulated industry such as financial services, mortgage lending, banking, insurance, healthcare, or government

Understands how mortgage products, servicing operations, borrower experience, compliance, and technology intersect to create business value

Can effectively communicate with mortgage business stakeholders without requiring extensive business translation

Designs technology solutions that improve operational efficiency while maintaining compliance and reducing risk

Familiarity with privacy, model risk, information security, records retention, accessibility, and regulatory compliance requirements

Experience modernizing legacy applications and integrating them with cloud, data, and AI platforms

Experience developing software in close collaboration with product designers, business operators, and end users

Demonstrated ability to improve development velocity without compromising engineering quality or operational stability

Benefits

Remote work arrangement

Company

Freedom Mortgage

Glassdoor

3.3

Full-service mortgage lender and servicer.

Founded in 1990

Mount Laurel, New Jersey, USA

5001-10000 employees

https://www.freedommortgage.com

H1B Sponsorship

Freedom Mortgage has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

83%

Represents job field similar to this job

Engineering and Development

Management and Executive

Accounting and Finance

Customer Service and Support

Product Management

Arts and Entertainment

Marketing

Human Resources

Trends of Total Sponsorships

*2026 (10)

2025 (8)

2024 (25)

2023 (36)

2022 (75)

2021 (88)

2020 (27)

Funding

Current Stage

Late Stage

Total Funding

$1.55B

2025-08-20Debt Financing

• $500M

2023-06-27Debt Financing

• $1.05B

Leadership Team

Stan Middleman

President, Chief Executive Officer

Steven Fasman

Executive VP & Executive Advisor to the CEO

Recent News

PR NewswireFreedom Mortgage and USO Launch 14th Annual Rucksacks to Backpacks Campaign, Supporting Military Families Nationwide

2026-07-01

Business WireUserTesting Announces 2026 Illumi Award Winners

2026-05-26

Sports Business JournalMilitary Bowl inks Freedom Mortgage for naming rights

2026-05-20

Company data provided by crunchbase