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.

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: Design, develop, and maintain robust web applications using TypeScript, HTML, CSS, Java, and Node.js within a microservices architecture. Collaborate with cross-functional teams to define requirements, design solutions, and deliver new features efficiently. Write clean, maintainable, and efficient TypeScript and Java code, following established engineering standards and best practices. Optimize applications for performance, speed, scalability, and reliability while troubleshooting and resolving technical issues. Design and maintain data storage solutions using Microsoft SQL Server, including database queries, optimization, and data integrity. Build user interfaces using HTML, CSS, and JSON-generated structures, applying DOM manipulation to create dynamic and interactive experiences. Ensure responsive design and cross-browser compatibility across web applications. Participate in code reviews, share technical knowledge, and contribute to continuous improvements in code quality. Build and deploy AI-powered applications using large language models (LLMs), generative AI agents, and retrieval-augmented generation (RAG) pipelines. Integrate AI services into full-stack solutions using technologies and frameworks such as LangChain, FastAPI, and Azure OpenAI. Process unstructured and multimodal data, including PDFs, HTML, audio, and images, to support intelligent application features. Implement LLMOps practices such as prompt versioning, caching, observability, and cost tracking. Collaborate with AI/ML engineers and data scientists to embed intelligent automation and decision-making capabilities into enterprise workflows. Contribute to semantic search, vector database integrations, and AI-enhanced user experiences. Stay informed about emerging technologies and industry trends to identify opportunities for innovation. 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: Professional experience: At least 5 years of professional full-stack development experience. Frontend development: Strong proficiency in HTML, CSS, DOM manipulation, and the development of responsive, interactive web interfaces. Backend development: Strong experience with Node.js and Java in modern application environments. TypeScript: Advanced proficiency using TypeScript across frontend and backend development. Database expertise: Solid understanding of Microsoft SQL Server, including database design, querying, and performance optimization. AI integration: Experience integrating AI APIs and services, such as OpenAI, Hugging Face, or Mistral. LLM knowledge: Understanding of large language models, prompt engineering, AI coding tools such as Cursor, and AI orchestration frameworks. Problem-solving: Strong analytical skills and the ability to troubleshoot complex technical issues. Communication and collaboration: Excellent communication and teamwork skills, with the ability to work effectively in a remote environment. Attention to detail: Ability to manage evolving requirements while maintaining service stability, code quality, and application reliability. 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: Experience with additional frontend frameworks or libraries, including microfrontend architectures. Familiarity with Redis and publish/subscribe messaging concepts. Experience with containerization technologies such as Docker. Knowledge of cloud platforms, preferably Microsoft Azure. Experience with CI/CD pipelines and DevOps practices. Experience developing AI-enhanced user interfaces, user experiences, and intelligent user flows. Exposure to vector databases, semantic search, and AI observability tools. Experience with a leading mortgage Loan Origination System (LOS) and custom software platforms. Hands-on experience with Aloha software. Familiarity with mortgage compliance frameworks, including HMDA, TRID, RESPA, and ECOA. Benefits: Annual salary: $150,000–$180,000, depending on relevant factors and applicable state and local pay transparency requirements. 401(k) retirement plan. Health insurance. Dental insurance. Vision insurance. Life insurance. Disability insurance. Paid time off. 12 paid holidays per year. Paid training. Employee discounts. Referral program and supplemental referral bonuses. Fully remote work arrangement, subject to the specified internet connectivity requirements. Equal opportunity employment.