Software Engineer 2 - CoreAI

MicrosoftRedmond, WA
64d

About The Position

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. Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.

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.
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Nice To Haves

  • 3+ years of experience in engineering, solution architecture, customer engineering or related roles in the AI, ML, cloud or enterprise software space.
  • Understanding of LLM’s, 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.

Responsibilities

  • 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.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service