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Burtch Works client, a leading provider of cloud-based software for financial institutions, seeks an AI Software Engineer for its US Remote R&D team. The mid-level engineer will design, develop, test, and maintain backend systems in C#/.NET and APIs, apply AI development tools, and collaborate with product, QA, and DevOps in a modern cloud environment.
You will contribute to containerized deployments, CI/CD pipelines, and scalable services that enhance lending workflows and digital banking
Our client is a leading provider of cloud-based software solutions for financial institutions, including banks, credit unions, mortgage lenders, and consumer lending organizations. Its technology supports critical lending and account-opening workflows, including loan origination, underwriting, credit decisioning, mortgage processing, and digital banking experiences.
Job Title: AI Software Engineer
Location: US Remote
Our client is a leading provider of cloud-based software solutions for financial institutions, including banks, credit unions, mortgage lenders, and consumer lending organizations. Its technology supports critical lending and account-opening workflows, including loan origination, underwriting, credit decisioning, mortgage processing, and digital banking experiences. They’re investing in modern cloud engineering, data, and artificial intelligence capabilities as it continues to evolve its product and platform ecosystem. The organization values engineers who enjoy building, improving, and simplifying systems while connecting technical work to customer experience and business outcomes.
We are looking for an AI Software Engineer to join their Research & Development organization in a US Remote capacity. The ideal candidate is a mid-level software engineer with 3+ years of professional experience who is strong in backend development using C#/.NET and APIs and has experience with AI development tools and methodologies. This role will design, develop, test, and maintain software solutions supporting their products and platform capabilities while collaborating with senior engineers, product managers, QA, and DevOps teams in a modern cloud-based engineering environment.
Education: No specific degree requirement is stated; equivalent professional software engineering experience will be considered based on the published qualifications.
Experience: 3+ years of professional software engineering experience.
Skills: Strong proficiency in backend engineering using C#/.NET and APIs; familiarity with modern frontend technologies; experience with Docker, CI/CD pipelines, Azure and/or AWS; experience with AI development tools and methodologies; strong communication and problem-solving skills.
Other: Must be able to work effectively in a remote, cross-functional product and engineering environment. Our client conducts a comprehensive background check, credit check, and drug test as part of its offer process.
Candidates who bring experience building scalable, reliable, and maintainable software in modern cloud environments will be especially relevant. Exposure to both backend and frontend development, product-oriented SaaS engineering, containerized environments, automated delivery practices, and the practical use of AI within software engineering workflows will strengthen alignment with the role.