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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal AI Software Engineer - **Company:** Microsoft - **Location:** Redmond, WA, United States - **Experience:** Expert - **Salary:** $165,600.0 - $296,400.0 - **Contract:** Permanent contract - **Skills:** C (Programming Language), Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Data Analysis, Artificial Neural Networks, Microsoft Azure, Microsoft Online Services, C Sharp (Programming Language), C++ (Programming Language), Software as a Service, Python (Programming Language), Microsoft Software, Natural Language Processing, NumPy, Rapid Prototyping Process, Tensorflow, Pytorch, ReactJS, Large Language Models, Prompt Engineering, Deep Learning, Model Validation, Jupyter, Pandas, Matplotlib, Scikit Learn, Information Technology, Data Pipelines - **Published:** August 26, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/88151185/1 ## About the Role * Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python + OR equivalent experience. 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., * 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 inprompt engineering and evaluation, with the ability to design, refine, and test prompts to improve model accuracy, reliability, and usability. * 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. #CAP #A365 ## Description 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. * Design implement, evaluate, and deploy AI-powered autonomous execution 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 and partner with cross-functional teams to integrate the latest from Entra ID, M365, and other Microsoft technologies * Stay current with emerging research, tools, and frameworks in AI/ML to drive innovation. * Rapidly prototype and iterate on new ideas to stay ahead in the agent platform race * Provide technical leadership and guidance to a team of software engineers ## Related Videos - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [Kubernetes dev is fun, but setup and ops isn't! See a fun PaaS alternative to push any code, ipynbs or even just data!](https://www.wearedevelopers.com/videos/732-kubernetes-dev-is-fun-but-setup-and-ops-isn-t-see-a-fun-paas-alternative-to-push-any-code-ipynbs-or-even-just-data) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [The Prompt Engineer ✍️](https://www.wearedevelopers.com/magazine/216-the-prompt-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Prompt Engineering is a Job of the Past](https://www.wearedevelopers.com/magazine/342-prompt-engineering-is-a-job-of-the-past)