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$ cat jobs/full-stack-software-developer-amerisave-mortgage-corp-e3448d023fca.json

Full Stack Software Developer

amerisave mortgage corp·US·United States·mid
typescriptnode.jsjavafastapisqlazurellmmicroserviceshtmlcss
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AmeriSave Mortgage Corporation is a leading fintech lender transforming the way people finance their homes. With a strong foundation in digital innovation, AmeriSave is expanding beyond mortgages to offer home equity loans and personal loans—covering every type of consumer loan. Our mission is to simplify and modernize the lending experience through technology, automation, and AI-driven solutions. We are a fast-paced, customer-focused organization that values transparency, agility, and excellence. Responsibilities: Design, develop, and maintain robust and scalable web applications using TypeScript, HTML, CSS, Java, and Node.js in a microservice environment. Collaborate with cross-functional teams to define, design, and ship new features quickly. Write clean, maintainable, and efficient code in TypeScript and Java. Optimize applications for maximum speed and scalability. Troubleshoot and debug applications to ensure optimal performance. Implement data storage solutions using MS SQL and ensure data integrity. Participate in code reviews to maintain code quality and ensure best practices. Stay up-to-date with the latest industry trends and technologies to bring innovative solutions to the table. Work in the CST timezone to ensure seamless collaboration with the team. Design and develop user interfaces with HTML, CSS and/or generated by JSON. Perform DOM manipulation to create dynamic and interactive web pages. Ensure cross-browser compatibility and responsiveness of web applications. AI-Specific Responsibilities: Build and deploy AI-powered applications using LLMs, GenAI agents, and retrieval-augmented generation (RAG) pipelines. Integrate AI services into full-stack solutions using frameworks like LangChain, FastAPI, or Azure OpenAI. Handle unstructured data (PDFs, HTML, audio, images) and multimodal models. Implement LLMOps practices including prompt versioning, caching, observability, and cost tracking. Collaborate with AI/ML engineers and data scientists to embed i

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