Senior Software Engineer - AI Systems

Full Job Description

​Design, build, and deliver AI-powered systems and platforms that enable new ways of developing, delivering, and operating software. Build foundational capabilities that enable AI systems to understand context, plan and execute complex work, use tools, retain knowledge, and collaborate with people and other AI systems. Design and build the distributed systems and cloud infrastructure required to run AI-driven workloads reliably, securely, and efficiently at scale. Integrate AI capabilities with products, engineering systems, and workflows to solve real problems for developers and engineering teams. Drive features from design through implementation and production, including architecture, quality, reliability, security, observability, and operational readiness. Collaborate with engineers, product managers, researchers, and partner teams to explore new ideas, make sound technical decisions, and turn advances in AI into useful product capabilities. Contribute to the technical direction of the team through design and code reviews, engineering best practices, and mentoring other engineers. Others :-​ ​​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, TypeScript, Python, or Rust OR equivalent experience. Experience designing, building, and delivering scalable, production-grade software systems or cloud services. Strong technical fundamentals in areas such as distributed systems, concurrency, cloud architecture, or backend systems. Demonstrated ability to own complex technical problems, make sound design decisions, and drive solutions from design through production. Experience building AI-powered applications, agentic systems, or developer platforms. Experience with distributed systems, workflow engines, schedulers, stateful services, or large-scale cloud infrastructure. Experience designing platforms, APIs, SDKs, or extensibility systems used by other developers. Experience with identity, authorization, isolation, multi-tenancy, or secure execution environments. Demonstrated technical leadership, mentorship, and effectiveness working across engineering and product teams. Passion for pushing the boundaries of what AI can do and turning advances in AI into reliable, real-world products and engineering systems.