Risk, Data & AI Software Engineer (Remote, US)

Role overview This software engineering role builds and operates full-stack products that turn risk and compliance data into useful insights and actions. The work spans application development, data pipelines, cloud deployment, and generative AI integration, taking ideas from early design through production. Solutions are expected to be scalable, secure, and responsibly implemented in collaboration with product and risk stakeholders.

Responsibilities - Develop full-stack applications using Java with Spring Boot and/or Python, alongside a modern front-end framework. - Integrate generative AI models and APIs into enterprise applications and build features that use retrieval-augmented generation. - Create and maintain APIs, microservices, and data pipelines that support AI-enabled capabilities. - Implement and support CI/CD workflows, infrastructure as code, containerization, and orchestration. - Deploy and manage applications on cloud platforms, with Microsoft Azure preferred. - Partner with product managers and risk stakeholders to shape and deliver software that meets operational needs.

Requirements - At least three years of full-stack development experience with Java Spring Boot and/or Python. - Hands-on experience with generative AI frameworks or APIs, such as OpenAI, Hugging Face, or LangChain. - Proficiency in JavaScript or TypeScript and a modern front-end framework such as React, Angular, or Vue.js. - Experience with Azure cloud services, CI/CD, DevOps practices, and infrastructure as code. - Familiarity with Docker and Kubernetes, plus experience with retrieval-augmented generation. - Strong problem-solving skills and interest in building practical AI products.

Nice to have Experience with vector databases, prompt engineering, fine-tuning language models, multimodal or agentic AI, and cloud MLOps or AI model deployment.

Benefits and work setup The role is described as remote in the United States. The listing states an annual compensation range of $90,700–$153,925, based on experience and qualifications. Home-based employees receive technology equipment and a monthly internet reimbursement; a dedicated private workspace and reliable internet are expected.