Microsoft

Software Engineer II - AI Engineering / Python/DS

Microsoft$85K — $169K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree in Computer Science or related technical field + 2+ years coding experience in languages such as C, Java, or Python
  • Experience building production-grade Python services and distributed systems
  • Hands-on experience with Apache Spark/PySpark
  • Strong understanding of modern LLM systems and AI Engineering methodologies
  • Familiarity with cloud-native engineering on Azure
  • Experience operationalizing AI/ML features and collaborating across disciplines

Responsibilities

  • Design, build, and ship scalable backend services in Python
  • Develop LLM-enabled capabilities focusing on latency and reliability
  • Build robust data pipelines to support model workflows and analytics
  • Define evaluation strategies for LLM features and implement monitoring
  • Apply Responsible AI and security best practices in product integration
  • Collaborate with cross-discipline teams to create clear technical designs
  • Maintain and operate services in production, driving improvements in operations

Benefits

  • Opportunity to work on cutting-edge AI engineering and LLM systems
  • Collaboration with talented cross-functional teams
  • Exposure to scalable cloud technologies and data engineering
  • Focus on responsible AI practices
  • Ongoing professional development and mentorship opportunities
Full Job Description
Responsibilities

As a Software Engineer II, you will own and deliver key components end-to-end, from design through production operations, with a strong focus on AI Engineering and modern LLM-based systems:
    • Design, build, and ship scalable backend services and/or libraries in Python that power Fabric Data Engineering and Data Science experiences
    • Develop LLM-enabled capabilities (prompting patterns, tool/function calling, RAG/grounding, orchestration/agents) with strong attention to latency, reliability, and cost
    • Build robust data pipelines and distributed compute solutions (Spark/PySpark) to support model/data workflows, feature generation, and large-scale analytics
    • Define evaluation strategies for LLM features (offline/online metrics, quality gates, safety checks), and implement telemetry/monitoring to continuously improve quality
    • Apply Responsible AI and security/privacy best practices (data handling, governance, access controls) when integrating AI into customer-facing products
    • Collaborate with Product Managers and partner engineering teams to translate scenarios into clear technical designs and incremental deliverables
    • Maintain and operate services in production, participate in on-call/incident response, and drive improvements in operational excellence
    • Review code and designs, mentor peers through constructive feedback, and contribute to engineering best practices across the team

Embody our culture and values

Qualifications

Required/Minimum Qualifications
  • Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Qualifications: Additional
  • Bachelor's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR Master's Degree in Computer Science or related technical field AND 1+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.
  • Experience building production-grade Python services, libraries, or distributed systems; strong software engineering fundamentals (design, testing, performance, maintainability)
  • Hands-on experience with Apache Spark/PySpark and data engineering patterns for large-scale structured and unstructured data
  • Solid understanding of modern LLM systems and AI Engineering: prompting, grounding/RAG, tool/function calling, agent orchestration, and evaluation methodologies
  • Experience operationalizing AI/ML features: monitoring, telemetry, experimentation (A/B), rollout strategies, and cost/latency optimization
  • Familiarity with cloud-native engineering on Azure (compute, storage, networking) and secure, compliant data handling
  • Experience collaborating across disciplines (PM, design, research, partner teams) to deliver customer-facing AI capabilities

Additional Job 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.

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

#azdat

#azuredata

#microsoftfabric #dataengineering #bigdataanalytics #spark

Software Engineering IC3 - The typical base pay range for this role across Canada is CAD $85,800.00 - CAD $169,300.00 per year.

Find additional pay information here:
https://careers.microsoft.com/v2/global/en/canada-pay-information.html

Software Engineering IC3 - L'échelle salariale de base typique pour ce rôle dans l'ensemble du Canada est de 85,800.00 $ CAD à 169,300.00 $ CAD par année.

Pour plus d'information au sujet de la rémunération, veuillez cliquer ici:
https://careers.microsoft.com/v2/global/en/canada-pay-information.html

Ce poste sera ouvert pendant au moins cinq jours et les candidatures seront acceptées de façon continue jusqu'à ce que le poste soit pourvu.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

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Microsoft is an American multinational corporation that develops, manufactures, licenses, supports, and sells a range of software products and services. Microsoft’s devices and consumer (D&C) licensing segment licenses the Windows operating system and related software, Microsoft Office for consumers, and the Windows Phone operating system. The company’s computing and gaming hardware segment provides Xbox gaming and entertainment consoles and accessories, second-party and third-party video games, and Xbox Live subscriptions; surface devices and accessories; and Microsoft PC accessories. Its phone hardware segment offers Lumia smartphones and other non-Lumia phones. Its D&C segment provides Windows Store, Xbox Live transactions, and Windows phone store; search advertising; display advertising; Office 365 Home and Office 365 Personal; first-party video games; and other consumer products and services as well as operating retail stores. Microsoft’s commercial licensing segments license server products, including Windows Server, Microsoft SQL Server, Visual Studio, System Center, and related Client Access Licenses (CALs); Windows Embedded; Windows operating system; Microsoft Office for business, including Office, Exchange, SharePoint, Lync, and related CALs; Microsoft Dynamics business solutions; and Skype. Its commercial segment offers enterprise services, including premier support services and Microsoft consulting services; commercial cloud comprising Office 365 Commercial, other Microsoft Office online offerings, Dynamics CRM Online, and Microsoft Azure; and other commercial products and online services. The company markets and distributes its products through original equipment manufacturers, distributors, and resellers, as well as online.

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Learn more about Microsoft
Size
181,000 employees
Market Cap
$1,762.4 billion
Industry
Net Income
$51.3 billion
Founded
1975
5 Year Trend
+15.5%
Revenue
$153.2 billion
NASDAQ

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