Senior Software Engineer - Teams AI Features at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

14 Apr, 26

Salary

234700.0

Posted On

14 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C, C++, C#, Java, JavaScript, Python, AI Features, Engineering Tooling, Observability, Telemetry, CI/CD, A/B Testing, Collaboration, Mentoring, Performance Metrics, Debugging, React

Industry

Software Development

Description

Overview We are looking for a Senior Software Engineer to join our team to drive all aspects of AI feature fundamentals for one of the biggest modern collaboration platforms in the world - Microsoft Teams. We help feature teams ship quality AI experiences out of the gate, track key performance and reliability metrics for critical high-volume scenarios, aid feature teams in improving the debuggability of AI scenarios, help create offline and online evals for all AI features by incorporating into release pipelines and drive culture of performance by promoting best practices and consulting. As a team, we obsess about learning, diving deep into areas of opportunities, experimenting and use an evidence-based approach to turning opportunities into positive impact on performance of the product through collaboration. 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 Build and evolve the Real-Time Intelligence evaluations platform: implement offline and online eval pipelines, including golden datasets, human review workflows, and LLM-as-judge / auto-raters for agents, anomaly detectors, and decisioning systems. Instrument agentic solutions for observability by wiring up telemetry, tracing, structured logging, and dashboards so quality, safety, latency, and cost are easy to monitor and debug. Integrate evals into the development lifecycle by connecting pipelines to CI/CD, canary and A/B experiments, and phased rollouts, making it simple for partner teams to run and interpret evaluations. Collaborate and mentor across product, research, and engineering teams, sharing best practices on eval design, LLM-as-judge usage, and Responsible AI, and providing code reviews and guidance that raise the bar for the AI features. Qualifications Required Qualifications: Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 2+ years of experience on engineering tooling or eval development. 1+ years experience in driving fundamentals for AI features within web apps. 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. Preferred Qualifications: Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR 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. Prior experience in working on services at scale. Understanding of building engineering tools on the server side for scale. Prior experience in working closely with AI feature teams and improving fundamentals like performance and reliability is a major plus. Experience solving challenging problems and cross team/organization collaboration skills. Proficiency with React is a plus. Curiosity to dive deep, continuously learn and experiment. Passion for collaboration and knowledge sharing. Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Responsibilities

The role involves building and evolving the Real-Time Intelligence evaluations platform and integrating evaluations into the development lifecycle. The engineer will also collaborate and mentor across teams to share best practices and improve AI feature fundamentals.