Requirements

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)
Practical experience in prompt engineering and evaluation

Nice to Haves

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
Exposure to Deep Neural Network training and inference and experience in 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

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

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