AI Software Engineer II

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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:
https://careers.microsoft.com/v2/global/en/locations/dublin.html

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.

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#, Java

• 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

• Practical experience in prompt engineering and evaluation, with the ability to design, refine, and test prompts to improve model accuracy, reliability, and usability

Preferred 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 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

• Excellent communication and collaboration skills to work effectively across disciplines and partner teams

Other 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 thereafte

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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This role demands a blend of artificial intelligence expertise with full-stack development skills to contribute to all phases of our product lifecycle, from conception to deployment. You'll work closely with our product and design teams to deliver on the vision.

• 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