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Software Engineer 2 - CoreAI

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Microsoft Corporation

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Location:
United States , Mountain View

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

100600.00 - 199000.00 USD / Year
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Job Description:

Software Engineer 2's within CoreAI lead complex deployments of frontier models and AI Foundry in production. You will embed with customers where GenAI application performance matters, delivery is urgent, and ambiguity is the default. You will use this to map their problems, structure delivery, and ship fast. You will scope, sequence, and build full-stack solutions that create measurable value. You will also drive clarity across internal and external teams. You will identify reusable patterns and share field signals that influence the roadmap. Success in this role means owning the delivery state across workstreams. You will hold the bar on quality and pace and help CoreAI learn through execution.

Job Responsibility:

  • Own technical delivery across multiple deployments from first prototype to stable production
  • Build full-stack systems that deliver customer value and sharpen how we learn
  • Embed closely with customer teams, understand their needs, and guide adoption of what you build
  • Scope work, sequence delivery, and remove blockers early
  • Make trade-offs between scope, speed, and quality
  • adjust plans to protect delivery
  • Contribute directly to the code when progress or clarity depends on it
  • Codify working patterns into tools, playbooks, or building blocks that others can use
  • Share field feedback that helps Product to understand where the agents, models and tools succeed and where they can improve
  • Keep teams moving through clarity and follow-through

Requirements:

  • 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

Nice to have:

  • 3+ years of experience in engineering, solution architecture, customer engineering or related roles in the AI, ML, cloud or enterprise software space
  • Understanding of LLMs, agentic AI frameworks and modern AI infrastructure
  • Experience working with enterprises or digital native customers to deploy complex scalable and responsible AI solutions
  • Familiarity with LLM models, cloud platforms (Azure preferred) API security deployment best practices and data architectures
  • Stakeholder management and communication skills
  • Demonstrated ability to operate in ambiguous and cross functional environments

Additional Information:

Job Posted:
April 27, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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