Senior Software Engineer

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

Senior Software Engineer to build and scale AI-powered tools for communicators, focusing on agents, workflow automations, and data integrations. The role involves developing production-minded solutions, establishing responsible AI patterns, and creating evaluation frameworks for AI systems.

What you'd actually do

  1. Build agents, workflow automations, data integrations, and applications that address defined communications needs, including research, media intelligence, narrative analysis, content workflows, measurement, and knowledge discovery.
  2. Partner with users to clarify requirements, create prototypes, gather feedback, and improve solutions based on observed usage and measurable outcomes.
  3. Write, test, debug, and document maintainable code.
  4. Integrate approved internal and external data sources using secure APIs and authentication methods.
  5. Develop evaluation frameworks for accuracy, reliability, grounding, safety, and usefulness.

Skills

Required

  • 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
  • equivalent experience

Nice to have

  • Experience building and shipping software, automation, data products, or AI-enabled applications beyond the prototype stage.
  • Experience with Large Language Models, agents, retrieval, tool calling, structured outputs, or related AI application patterns.
  • Experience working with application programming interfaces, authentication, enterprise data sources, testing, debugging, and source control.
  • Experience building internal enterprise tools or workflow products in collaboration with nontechnical users.
  • Experience evaluating AI systems for quality, grounding, safety, reliability, and user value.
  • Experience with Microsoft Azure, Microsoft 365, Copilot, GitHub Copilot, Copilot Studio, Power Platform, or comparable technologies.
  • Experience working with communications teams to plan, develop, approve, distribute, and assess their work.
  • Experience applying machine learning or data techniques to large volumes of text, audience information, or other unstructured business data.

What the JD emphasized

  • shipping software
  • AI-enabled applications beyond the prototype stage
  • Large Language Models
  • agents
  • retrieval
  • tool calling
  • structured outputs
  • evaluating AI systems

Other signals

  • AI-powered tools
  • agents
  • workflow automations
  • LLMs
  • evaluation frameworks