Overview
Would you like to work on a product that transforms Microsoft AI technologies and a modern-work suite to help millions of users work better and faster together?
Do you enjoy working with teams that leverage AI to create fast and useful solutions for end-users?
The future of work is being redefined with AI agents acting as digital co-workers.
Microsoft is leading this transformation with M365, Copilot Studio, and Azure AI Foundry.
As part of this team, you will help build Agent Cloud— an enterprise-grade solution that secures, governs, and manages AI agents with the same rigor and familiarity as human employees.
As an AI Software Engineer, you will collaborate with a diverse multi-discipline, multi-site team delivering end-to-end solutions and end user experiences across the M365 ecosystem.
These experiences are built upon a highly scalable Azure service architecture, featuring a React-based UI that will delight our customers.
You can learn more about our Dublin Engineering site here: 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.
Qualifications
Required Qualifications
Bachelors degree in computer science, or related technical discipline Experience coding in one or more high level languages including, but not limited to Python, C#, JavaProven 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 tasksPractical experience in prompt engineering and evaluation, with the ability to design, refine, and test prompts to improve model accuracy, reliability, and usabilityPreferred Qualifications
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 prototypingExposure 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 ReactExperience delivering a Cloud SaaS product on Azure, AWS or GCPExcellent communication and collaboration skills to work effectively across disciplines and partner teamsOther qualifications
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 thereafteMicrosoft is an equal opportunity employer.