Senior AI Software Engineer
Job Description
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.
Locations
- Dublin, Dublin, Ireland, Dublin, Dublin, Ireland
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
110,000 - 160,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Required Qualifications
- Bachelor's degree in computer science, or related technical discipline or relevant experience (degree)
- Extensive years of experience coding in one or more high level languages including, but not limited to Python, C#, Java (degree)
- 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 (degree)
- Practical experience in prompt engineering and evaluation, with the ability to design, refine, and test prompts to improve model accuracy, reliability, and usability (degree)
- Experience with Agent based architectures, frameworks and technologies (such as MCP, A2A protocol, Langchain, Azure AI Foundry) (degree)
- 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 (degree)
- Exposure to Deep Neural Network training and inference and experience in one or more deep learning frameworks (PyTorch, TensorFlow, etc.). (degree)
- Experienced in web application development frameworks, such as React (degree)
- Experience delivering a Cloud SaaS product on Azure, AWS or GCP (degree)
- Excellent communication and collaboration skills to work effectively across disciplines and partner teams (degree)
- 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: (degree)
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter. (degree)
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
Travel Requirements
3 days / week in-office
