Senior Software Engineer
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AI Summary
The engineer will architect and build scalable backend systems and APIs to support the AI-powered mortgage underwriting platform while designing and implementing integrations with third-party mortgage systems. They will also build and optimize LLM-powered features using agentic AI and RAG to enhance underwriting accuracy and automation.
Location: US Remote
** Candidates must currently live in the US and have work authorization to work for any US employer **
About Us:
Friday Harbor is a modern AI mortgage underwriting platform. It helps lenders identify problems in a loan file upfront, resolving potential issues earlier, and assembling clean, complete, and compliant files from the start.
We’re a Seattle-based startup backed by top-tier investors (Abstract, Mischief, Wischoff, AI2 Incubator, CoFound) and trusted by leading lenders across the country, including several of the top-25 lenders in the country. While our headquarters are in Seattle, our engineering team is fully remote with quarterly off-sites. We offer flexibility and work-life balance while still fostering a collaborative and creative team environment.
Join our team of 5 engineers to build the AI systems that are changing how mortgages get underwritten. You'll work on LLM applications, integrate with third-party mortgage platforms, develop new product features, and optimize performance as we scale. The work spans cutting-edge AI (RAG, agentic workflows) and practical backend engineering (APIs, integrations, data pipelines).
Responsibilities:
- Architect and build scalable backend systems and APIs to support our AI-powered mortgage underwriting platform as we scale to meet rapid customer growth.
- Design and implement integrations with third-party mortgage systems (LOS platforms like Encompass, document providers, credit bureaus) and internal services.
- Build and optimize LLM-powered features using the latest in agentic AI systems and retrieval-augmented generation (RAG) to improve underwriting accuracy and automation.
- Own greenfield projects from concept to production while also scaling and refining existing systems to handle increasing loan volume.
- Optimize system performance, security, and reliability to maintain seamless operations as we process thousands of loans monthly for enterprise customers.
- Collaborate closely with our team of 5 engineers to define product features, technical architecture, and engineering best practices.
- Shape our technical culture and contribute to product strategy, bringing insights from both customer needs and emerging AI capabilities.
Requirements:
- 4+ years building scalable, high-performance backend systems. Expertise in a modern backend language required; must be comfortable working in Python or adapting swiftly.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative/technical field.
- Strong problem-solving skills and the ability to design and implement efficient, maintainable software solutions.
- Excellent communication and collaboration skills, with the ability to work effectively in a fast-paced, small team environment.
- Comfortable with ambiguity and rapid iteration. Experience in startups or fast-moving teams is a plus.
Preferred Qualifications:
- Experience integrating LLMs into production applications or building AI-powered workflows.
- Production experience with SQL databases and familiarity with key-value stores like Redis.
- Experience with cloud platforms, preferably AWS, and containerization technologies like Docker.
- Experience working on financial technology or regulated industry systems.
We offer a competitive cash salary ($150-200k), significant equity compensation, and a complete benefits package. Our compensation strategy is geared towards attracting world-class talent and creating the possibility for significant potential equity upside for our early employees.
This is your chance to learn and build cutting-edge AI systems, work with LLMs and RAG, and make a lasting impact in the US housing industry!
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