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Strong brand, generic Software Engineer title, mid-level (3-6yrs) and metro location increase applicant competition.
Role demands AI-native, agent harness and LLM experience, making skills less transferable across industries.
Explicit 4-year requirement plus specialized AI-native, agentic workflow and production skills make filters strict.
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Design and build AI-native systems and agentic workflows to enhance business processes across Microsoft’s global sales ecosystem.
Rapidly prototype, iterate, and deliver scalable, production-quality AI-powered features and services.
Collaborate cross-team to integrate data, systems, and signals into intelligent workflows, ensuring system reliability and security.
Bachelor’s degree in computer science engineering or related field.
Minimum 4 years of professional software engineering experience with hands-on coding in C#, Java, Python, SQL, and React.
Experience in AI-native development including working with Agent Harnesses (GitHub Copilot CLI, Coding Agents), authoring Markdown specs/ADRs, YAML configs, and managing multi-step agentic workflows.
Strong fundamentals in data structures, algorithms, object-oriented design, scalable systems, big data processing, and production-quality software development.
Experienced in building AI-integrated, scalable, and secure production software with knowledge of large language models (LLMs).
Operating style that includes rapid prototyping, experimentation-driven engineering, and cross-team collaboration to deliver impactful AI solutions.
Technical judgment to design scoped solutions, debug complex systems, and improve system performance and reliability.