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AI Engineer at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Feb, 26

Salary

0.0

Posted On

19 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Engineering, Generative AI, Large Language Models, Python, C++, C#, Java, JavaScript, Machine Learning, PyTorch, TensorFlow, Hugging Face, Azure, Distributed Systems, Microservices, Fault Tolerant Infrastructure

Industry

Software Development

Description

Ship features with PM & Engineering. Co-own scenario goals; translate product requirements into scientific plans and productionized solutions that meet quality/latency/cost targets. Generative AI and advanced technologies. Apply knowledge of generative AI, large language models, and modern frameworks to develop intelligent features and automation within the service. Azure platform integration. Deploy, integrate, and manage AI powered solutions within the Azure ecosystem, ensuring security, scalability, and compliance with best practices. Continuous learning and mentoring. Stay current with advances in generative AI and software engineering. Invest time in learning new tools and frameworks, propose improvements to build processes, and share knowledge with colleagues. Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. AI and machine learning skills. Hands on experience with generative AI or machine learning frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a solid understanding of LLM concepts, embeddings, and prompt engineering. Distributed systems and cloud experience. Familiarity with Azure services, micro services architectures, and distributed storage systems (experience with Cosmos DB or similar is a plus). Ability to design and run fault tolerant infrastructure on a large scale and to implement secure, compliant solutions. 1 + years of experience designing and running infrastructure systems that operate globally on a large scale. Experience deploying AI models into production environments and building systems that monitor and retrain models automatically. Passion for mentoring others and contributing to an inclusive team culture.

Responsibilities

Collaborate with PM and Engineering to ship features and co-own scenario goals. Translate product requirements into scientific plans and productionized solutions that meet quality, latency, and cost targets.