Senior Fullstack Engineer, Mortgage Fulfillment AI
New
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JobgetherMortgage technology
Full-time remote position for eligible U.S.-based candidates, with flexibility to work from an approved location within the United States. Certain geographic restrictions may apply.Full-TimeSenior
SalaryAnnual base salary varies by geographic location: $164,400–$262,600 in California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington, D.C.; $156,200–$249,400 in Colorado, Hawaii, Illinois, Maine, Minnesota, Nevada, Ohio, Rhode Island, Vermont, and Virginia. Salary ranges for other U.S. locations may differ.
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Job Details
- Experience
- At least eight years of professional software engineering experience
- Required Skills
- RESTful APIsLLMDistributed Systems
Requirements
- At least eight years of professional software engineering experience, including building, deploying, and operating scalable, reliable services in modern cloud environments.
- Bachelor's degree in Computer Science, Computer Engineering, or a related technical discipline, or an equivalent combination of education and professional experience.
- Experience owning an AI or machine learning system end to end in production, including architecture, implementation, deployment, measurement, and iterative improvement.
- Hands-on experience in at least two of these areas: AI evaluation pipelines and labeled datasets; LLM or machine-learning model-serving infrastructure and multi-step AI workflows; or third-party platform, external API, and enterprise-system integrations.
- Strong software engineering fundamentals and ability to build production-grade services, APIs, integrations, and supporting application components.
- Understanding of production failure modes, including timeouts, concurrency issues, malformed requests, retry behavior, and service degradation.
- Experience operating services in modern cloud environments and understanding infrastructure for scalable, distributed applications.
- Ability to define measurable success criteria, build evaluation tools, analyze system behavior, and use data to improve accuracy, performance, and reliability.
- Ability to take ownership of complex initiatives, contribute to design and code reviews, establish engineering practices, and mentor other engineers while remaining hands-on.
- Interest in learning mortgage fulfillment workflows and applicable regulatory requirements, including TRID and RESPA, is valuable.
Responsibilities
- Design, develop, and deploy multi-step AI agents for mortgage fulfillment workflows, including document collection, loan condition clearing, and closing coordination.
- Develop evaluation pipelines, define success criteria, manage labeled datasets, and use results to improve prompts, model selection, workflow logic, and fallback mechanisms.
- Architect and operate agent infrastructure, including model serving, prompt pipelines, batching, queueing, and workflow orchestration.
- Build resilient production systems with idempotent operations, retries, graceful degradation, and structured logging.
- Integrate with external platforms and APIs, including Encompass and DocuTech, while maintaining data consistency.
- Monitor and optimize AI systems for performance, availability, cost, and correctness, and resolve production issues.
- Collaborate with mortgage fulfillment operations, platform engineering, and loan origination system administrators to clarify requirements and deliver improvements.
- Own technical workstreams from design through deployment and ongoing improvement; make architectural decisions and manage technical risks.
- Promote automated testing, observability, incident response, and production readiness; contribute to reviews, document decisions, and mentor engineers.
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