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Tier-1 brand, mid-level generalist title, metro location, and broad skill requirements increase applicant competition.
Skills (distributed systems, cloud, full-stack, AI) are broadly transferable across industries with modest domain bias.
Explicit 3+ years plus mandatory distributed systems, cloud, AI, and full-stack skills enforce strict shortlisting.
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Design, develop, and maintain full-stack AI orchestration infrastructure for enterprise automation products, focusing on backend services, APIs, and frontend React components.
Progress AI orchestration platform products from prototype through validation with customers to production deployment, ensuring impact and reliability.
Measure and improve system quality using real customer data, accounting for non-deterministic behaviors in distributed, large-scale AI-driven workflows.
3+ years of software engineering experience with focus on distributed systems and backend architecture.
Proficiency in Python and/or C#, with full-stack experience including frontend frameworks like React and TypeScript.
Experience building production AI systems involving LLMs, multi-agent orchestration, evaluation of model behavior, and distributed systems design.
Bachelor's or Master's degree in Engineering, Computer Science, or equivalent experience.
Experienced in rapid prototyping and iterative development in ambiguous, fast-moving product environments resembling startup-like internal teams.
Strong analytical and quantitative reasoning to measure system quality and make decisions with imperfect data signals.
Hands-on with AI coding tools (GitHub Copilot, Claude, etc.) and comfortable working across Python, C#, and modern cloud and containerization technologies (Azure, AWS, Kubernetes).