Full Stack Engineer

We are looking for a software engineer to build and advance foundational solutions and data-driven processes that support applied AI and data science use cases while maintaining strong standards for security, privacy, and responsible data use. This is a remote, English-speaking role.
The ideal candidate combines strong software engineering skills with knowledge of data science and business needs. The successful candidate will collaborate closely with software engineers, data scientists, business analysts, product managers, and other stakeholders across the organization.
ResponsibilitiesDesign and implement cloud architectures that support our data science and experimentation projects.Design and develop cloud-based solution for applied AI scenariosProvide thought leadership for technical architecture design, development, and deployment to support customer/partners data science scenarios. Identify technical blockers to accelerate architecture implementations and route non-technical issues for removal by the appropriate party.Share ideas, insight, and technical input with virtual team members using a working knowledge of Azure architectures and other relevant products.Participate in security peer reviews to identify and mitigate risks, including code reviews and threat modeling.Support team functions by resolving service issues, providing technical guidance and assistance to users, conducting investigations, and creating documentation.
Required QualificationsBachelor’s degree in computer science or a related technical discipline and 4+ years of technical engineering experience coding in languages such as C#, Java, or Python, or equivalent experience.Experience developing applied AI solutions using large language models (LLMs), including integrating models into applications and evaluating solution quality.Hands-on experience creating proofs of concept and minimum viable products (MVPs) that progress to production deployments.Experience developing with cloud-based technologies.Experience in modern DevOps practices (including Git, CI/CD)
Preferred QualificationsHands-on experience using AI-assisted development tools and coding agents—such as GitHub Copilot, Claude Code, or similar tools—to design, write, test, debug, or review production-quality software.Experience with Azure ML services, and/or Azure Cognitive services, and/or TensorFlow and/or PyTorch.Experience contributing to Open Source Projects.Experienced agile practitioner with experience in Service Oriented Architectures (SOA) and/or REST.