Experian is seeking a Machine Learning Software Engineer to join the Experian Assistant team, a GenAI-powered platform. You will help build agentic workflows, improve prompt engineering strategies, integrate the latest LLMs using SDKs like OpenAI's Responses API and Experian's internal Arabica SDK, and report to the Engineering Director.
Job listings
We are looking to hire a Backend Software Engineer with a strong work ethic and a passion for building new software to take ownership of key services and features in the backend of our product suite. Given the nature of products, there are complex and engaging problems that demand a diverse skill set. The engineers are expected to embrace modern development practices, improve quality, and unlock new capabilities.
Seeking a hands-on and technically strong AI Product Engineer to guide the design and delivery of intelligent solutions across our unified care coordination, claims management, and patient engagement platforms. This role combines software engineering expertise in AI/ML system design, full-stack development, and a practical focus on data-driven insights that improve patient management and operational efficiency.
The Human Care Ecosystem Team is responsible for designing, building, and maintaining Ouraβs partnership integrations, healthcare, and B2B products. The ideal candidate wants to understand our users and listen to their needs, proactively advocates for technical investments, and is passionate about delivering quality code. Initiative and end-to-end ownership is valued: taking a rough idea, working with others to turn it into a concrete feature or product, deploying it, and monitoring its usage.
As a Senior Software Developer, you'll be at the forefront of delivering innovation to users, ensuring the application is not just functional but also delightful and snappy to use. Work will directly influence how users interact with the platform, making ELT operations easy, efficient, and accessible for everyone. Youβll be working with a remote cross-functional team of designers, product managers, and software engineers.
We are seeking an experienced Staff full stack engineer with a strong ability to execute hands-on technical work. The AI Lifecycle Team provides the UX backbone and visualization products that Machine Learning Engineers use to shepherd their ideas from data collection to model deployment in the AV. As a Staff Full Stack Engineer, you will collaborate closely with machine learning engineers, research scientists, and other partners to develop state-of-the-art AI solutions.
As a Senior AI Engineer at Foundation Health, you will play a pivotal role in designing and delivering production-grade AI solutions that power and differentiate our product suite. Youβll work cross-functionally with product, engineering, sales, and operations teams, and engage directly with enterprise clients to translate their needs into AI-powered solutions. This is a high-impact role.
Master and implement evolving technologies around digital commerce & marketplaces to discuss enterprise transformation. Mentor team members on new technologies and help architect scalable solutions, while collaborating with delivery managers on technical aspects of major implementations for clients across the globe. The ideal candidate will possess a minimum of 15 years of experience in solution architecture and technology implementation.