Whether through direct collaboration on-site, virtually, or in hybrid models, you’ll immerse yourself in their mission to design and deliver AI-powered solutions that create measurable impact. You’ll move quickly from concept to prototype to production, iterating alongside stakeholders to ensure solutions are both technically sound and operationally adopted. Your work will span engineering data pipelines and integrations, building custom applications, and deploying scalable workflows that bring …
Required Qualifications
Bachelor's Degree in Computer Science or related technical field AND 1+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Competence with DevOps practices, including CI/CD pipelines, containerization, and infrastructure-as-code. Solid understanding and successful demonstration of system security, scalability, reliability, and maintainability. Practical Experience with AI/LLMs: Experience designing and implementing ML/LLM-based solutions in production environments. Experience leveraging generative AI technologies to develop innovative and user-focused product features. These requirements include but are not limited to the following specialized security screenings:
Original Posting
This role is sourced from Microsoft. Apply on Microsoft careers page