Senior Software Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer based in the United States.

As a Senior Software Engineer, you will design and develop scalable full-stack applications while integrating AI-driven capabilities into enterprise lending workflows. You will work across frontend and backend technologies, building reliable services and intuitive user experiences in a modern microservices environment. Combining strong software engineering expertise with emerging AI technologies, you will help deliver intelligent automation, semantic search, and enhanced digital experiences. You will collaborate with engineers, AI/ML specialists, data scientists, and cross-functional stakeholders to turn complex requirements into practical solutions. Your work will contribute to application performance, service stability, and the continuous evolution of technology-driven financial products. This fully remote opportunity is suited to an experienced engineer who enjoys solving challenging technical problems and building innovative applications with measurable business impact.

Accountabilities:
As a Senior Software Engineer, you will own key aspects of full-stack development and AI integration, ensuring applications are secure, scalable, maintainable, and responsive to evolving business needs. Your responsibilities will include:

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Design, develop, and maintain robust web applications using TypeScript, HTML, CSS, Java, and Node.js within a microservices architecture.

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Collaborate with cross-functional teams to define requirements, design solutions, and deliver new features efficiently.

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Write clean, maintainable, and efficient TypeScript and Java code, following established engineering standards and best practices.

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Optimize applications for performance, speed, scalability, and reliability while troubleshooting and resolving technical issues.

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Design and maintain data storage solutions using Microsoft SQL Server, including database queries, optimization, and data integrity.

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Build user interfaces using HTML, CSS, and JSON-generated structures, applying DOM manipulation to create dynamic and interactive experiences.

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Ensure responsive design and cross-browser compatibility across web applications.

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Participate in code reviews, share technical knowledge, and contribute to continuous improvements in code quality.

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Build and deploy AI-powered applications using large language models (LLMs), generative AI agents, and retrieval-augmented generation (RAG) pipelines.

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Integrate AI services into full-stack solutions using technologies and frameworks such as LangChain, FastAPI, and Azure OpenAI.

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Process unstructured and multimodal data, including PDFs, HTML, audio, and images, to support intelligent application features.

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Implement LLMOps practices such as prompt versioning, caching, observability, and cost tracking.

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Collaborate with AI/ML engineers and data scientists to embed intelligent automation and decision-making capabilities into enterprise workflows.

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Contribute to semantic search, vector database integrations, and AI-enhanced user experiences.

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Stay informed about emerging technologies and industry trends to identify opportunities for innovation.

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Work within the Central Standard Time (CST) time zone to support effective team collaboration.

Requirements:

The ideal candidate combines extensive full-stack engineering experience with practical knowledge of AI integration, strong problem-solving abilities, and a commitment to building stable, high-quality applications. The following qualifications are required:

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Professional experience: At least 5 years of professional full-stack development experience.

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Frontend development: Strong proficiency in HTML, CSS, DOM manipulation, and the development of responsive, interactive web interfaces.

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Backend development: Strong experience with Node.js and Java in modern application environments.

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TypeScript: Advanced proficiency using TypeScript across frontend and backend development.

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Database expertise: Solid understanding of Microsoft SQL Server, including database design, querying, and performance optimization.

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AI integration: Experience integrating AI APIs and services, such as OpenAI, Hugging Face, or Mistral.

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LLM knowledge: Understanding of large language models, prompt engineering, AI coding tools such as Cursor, and AI orchestration frameworks.

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Problem-solving: Strong analytical skills and the ability to troubleshoot complex technical issues.

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Communication and collaboration: Excellent communication and teamwork skills, with the ability to work effectively in a remote environment.

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Attention to detail: Ability to manage evolving requirements while maintaining service stability, code quality, and application reliability.

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Remote work connectivity: Reliable high-speed internet with a cable or fiber connection and the ability to connect via Ethernet. Minimum speeds depend on usage: 70/30 Mbps for basic use, 200–300/35–70 Mbps for shared use, and 500–1,000/100+ Mbps for heavy use.

Preferred qualifications include:

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Experience with additional frontend frameworks or libraries, including microfrontend architectures.

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Familiarity with Redis and publish/subscribe messaging concepts.

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Experience with containerization technologies such as Docker.

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Knowledge of cloud platforms, preferably Microsoft Azure.

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Experience with CI/CD pipelines and DevOps practices.

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Experience developing AI-enhanced user interfaces, user experiences, and intelligent user flows.

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Exposure to vector databases, semantic search, and AI observability tools.

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Experience with a leading mortgage Loan Origination System (LOS) and custom software platforms.

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Hands-on experience with Aloha software.

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Familiarity with mortgage compliance frameworks, including HMDA, TRID, RESPA, and ECOA.

Benefits:

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Annual salary: $150,000–$180,000, depending on relevant factors and applicable state and local pay transparency requirements.

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401(k) retirement plan.

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Health insurance.

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Dental insurance.

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Vision insurance.

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Life insurance.

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Disability insurance.

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Paid time off.

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12 paid holidays per year.

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Paid training.

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Employee discounts.

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Referral program and supplemental referral bonuses.

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Fully remote work arrangement, subject to the specified internet connectivity requirements.

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Equal opportunity employment.