Senior AI Software Engineer
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Dublin, Ireland
Date postedOct 10, 2025
Job number1889354
Work site3 days / week in-office
Travel0-25%
Role typeIndividual Contributor
ProfessionSoftware Engineering
DisciplineSoftware Engineering
Employment typeFull-Time### 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 a Senior 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.
Qualifications
Required Qualifications
Bachelor's degree in computer science, or related technical discipline or relevant experience
Extensive years of 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 Requirements
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.
#BICJOBS### Responsibilities
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
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
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Industry leading healthcare
Educational resources
Discounts on products and services
Savings and investments
Maternity and paternity leave
Generous time away
Giving programs
Opportunities to network and connect
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.