Member of Technical Staff

Microsoft Microsoft · Big Tech · Redmond, WA +4 · Software Engineering

This role focuses on building user-facing features powered by Generative AI, specifically aiming to create a platform for bespoke AI agents that drive business outcomes. The candidate will be responsible for the full development lifecycle of these features, from inception to delivery, and will work with major brands to facilitate their AI transformation. The role requires a blend of AI knowledge and practical software development experience, with an emphasis on designing, developing, and deploying sophisticated, scalable software systems.

What you'd actually do

  1. This role involves crafting user-facing features powered by Generative AI while taking full ownership of their development from inception to delivery, ensuring exceptional quality and seamless implementation.
  2. You’ll be working closely with some of the world’s most recognizable brands, helping them catapult into the AI transformation era.
  3. Come and build the next generation of AI agents!

Skills

Required

  • Bachelor'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
  • Ability to meet Microsoft, customer and/or government security screening requirements

Nice to have

  • 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.
  • Competence with DevOps practices, including CI/CD pipelines, containerization, and infrastructure-as-code.
  • Solid understanding and successful demonstration of system security, scalability, reliability, and maintainability.
  • Practical Experience with AI/LLMs: Experience designing and implementing ML/LLM-based solutions in production environments.
  • Experience leveraging generative AI technologies to develop innovative and user-focused product features.
  • Capable of optimizing, prompting and finetuning AI-based solutions for performance, accuracy, and scalability.
  • Experience coaching and growing engineers within the team.

What the JD emphasized

  • build the next generation of AI agents
  • designing and implementing ML/LLM-based solutions in production environments
  • leveraging generative AI technologies to develop innovative and user-focused product features
  • optimizing, prompting and finetuning AI-based solutions for performance, accuracy, and scalability

Other signals

  • crafting user-facing features powered by Generative AI
  • build the next generation of AI agents
  • designing and implementing ML/LLM-based solutions in production environments
  • leveraging generative AI technologies to develop innovative and user-focused product features
  • optimizing, prompting and finetuning AI-based solutions for performance, accuracy, and scalability