Software Engineer 2 - CoreAI

Take ownership of important areas of the Azure SRE Agent Platform, including agent capabilities, orchestration, evaluation, and supporting platform services. Build and iterate on agentic systems, including tools, planning and execution loops, evaluations, and safety mechanisms. Design and ship reliable capabilities that improve incident detection, diagnosis, mitigation, and operational learning. Use telemetry, experiments, evaluations, and user feedback to guide iteration and investment. Contribute to resilient, observable systems that operate safely and effectively in production. Partner closely with engineers, SREs, and product counterparts to turn ambiguous problems into high-quality shipped solutions. Participate in debugging, live-site learning, and post-incident hardening to continuously improve system quality. Contribute to architecture, engineering standards, and development practices across the team. 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? These requirements include, but are not limited to the following specialized security screenings: Bachelor's Degree in Computer Science or related technical field AND 4+ years of technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, or Python 3+ years of experience building and operating cloud platforms or distributed services, with depth in service architecture, deployment, and observability Hands-on experience building and operating generative AI or agentic systems in production, with direct ownership over quality, reliability, and iteration Product mindset with a track record of owning ambiguous problem spaces and driving them to high-quality outcomes Solid engineering fundamentals, including systems design, performance, and debugging in complex production environments Experience designing, running, and optimizing evaluations for agentic systems, including tools, prompts, and agent loops Experience with Kubernetes, container orchestration, or cloud-native infrastructure is a plus Experience contributing to or leading open-source projects on a scale is a plus