The Agents Engineering team inside Azure AI is responsible for providing services that enable complex task completion using natural language, reasoning, and long-term planning & execution. We are looking for a Principal Software Engineer who is interested in building these highly scalable AI services, that leverage modern, bleeding-edge technologies. If this resonates with you, this is the job for you!

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.

Responsibilities

• Work on complex, mission-critical solutions that involve multiple Azure Services (Kubernetes, Event Hubs, Event Grid, Service Bus, etc.).

• Work on state-of-the-art technologies from Machine Learning, OpenAI, Natural Language Programming and Prompt engineering

• Conduct experiments to evaluate model performance, robustness, and generalization.

• Collaborate with cross-functional teams, including researchers, software engineers, and product managers.

• Work in an inclusive and collaborative environment 

Embody our Culture (https://careers.microsoft.com/v2/global/en/culture) & Values (https://www.microsoft.com/en-us/about/corporate-values)

Qualifications

Required Qualifications

• Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

• OR equivalent experience.

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 thereafter.

Preferred Qualifications

• At least 7 years of experience in designing, developing and maintaining distributed systems.

• Familiar with cloud computing technologies such as K8s and Docker.

• System design, algorithmic skills, and knowledge of data structures​.

• Debugging, testing, and problem-solving skills.

• Experience with transformer-based models (e.g., BERT, GPT, T5, Llama).

• Experience with AutoGen, LangChain, or other model-orchestration techniques towards task completion is a plus.

• Experience with Cloud Native Software.

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $133,600 - $256,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $173,200 - $282,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: US corporate pay information | Microsoft Careers (https://careers.microsoft.com/v2/global/en/us-corporate-pay.html)

Microsoft will accept applications for the role until May 23, 2024.

#AIPlatform

Microsoft is an equal opportunity employer. Consistent with applicable law, 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 (https://careers.microsoft.com/v2/global/en/accessibility.html) .