Software Engineer

Microsoft • Redmond, WA

3d

About The Position

The future of work is being redefined through AI agents that act as digital co‑workers. Microsoft is leading this transformation with M365, Copilot Studio, and Azure AI Foundry. This team is building Agent Cloud—an enterprise‑grade solution designed to secure, govern, and manage AI agents with the same rigor and familiarity applied to human employees.

The Software Engineer role collaborates with a diverse, multi‑disciplinary, and multi‑site team to deliver end‑to‑end solutions and compelling end‑user experiences across the M365 ecosystem. These experiences are powered by a highly scalable Azure service architecture and a modern, React‑based UI designed to delight customers.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Requirements

• 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.
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Nice To Haves

• Proven experience in developing and deploying large language models (LLMs): Demonstrated expertise in working with state-of-the-art LLMs, including their training, fine-tuning, and application in natural language processing tasks.
• 1+ years of experience coding in one or more high level languages including, but not limited to Python, C#, Java.
• Experience with Agent based architectures, frameworks and technologies (such as MCP, A2A protocol, Langchain, Azure AI Foundry).
• Proficiency in Python for data science workflows, leveraging libraries such as NumPy, Pandas, scikit-learn, Matplotlib, and Jupyter for data analysis, experimentation, and rapid prototyping.
• Exposure to Deep Neural Network training and inference and experience in one or more deep learning frameworks (PyTorch, TensorFlow, etc.).
• Experienced in web application development frameworks, such as React.
• Experience delivering a Cloud SaaS product on Azure, AWS or GCP.

Responsibilities

• Implement, evaluate, and deploy AI-powered applications and services
• Develop and fine-tune large language models (LLMs) and other deep learning models
• Write clean, maintainable, and scalable code for model training, evaluation, and inference pipelines
• Optimize AI models for performance, latency, and cost efficiency in production environments
• Apply prompt engineering to enhance model outputs and performance
• Collaborate with cross-functional teams to integrate AI solutions into our products
• Stay current with emerging research, tools, and frameworks in AI/ML to drive innovation.
• Conduct experiments, analyze results, and communicate findings to both technical and non-technical stakeholders

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level