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Tier-1 brand, metro location, and broad full-stack plus AI skillset increases qualified applicant density.
Requires deep AI-native and LLM production experience, making cross-industry transferability limited without ML systems background.
Requires 8+ years, staff-level AI/ML production experience and specific tech stack, making filters stringent.
Own the end-to-end architecture, design, implementation, scalability, reliability, security, and evolution of major AI-powered software products or subsystems.
Provide technical leadership across engineering teams including design reviews, code reviews, mentorship, and establishing AI-native engineering practices at production scale.
Drive and execute on AI/ML system capabilities like agentic workflows, retrieval, model integration, evaluation, and operational AI safety and observability.
8+ years of software engineering experience or equivalent practical experience.
Strong programming skills in Python, Java, Go, TypeScript, or equivalent languages.
Experience designing and delivering production AI/ML-powered software systems incorporating LLMs, RAG, vector search, and related AI technologies.
Bachelor’s or Master’s degree in Computer Science, AI, ML, or related technical discipline, or equivalent practical experience.
Experienced in leading highly ambiguous AI-native software architecture and full-stack engineering at scale with hands-on coding involvement.
Demonstrates strong technical judgment in balancing AI capability, engineering complexity, security, latency, and cost for production systems.
Has practical knowledge of distributed systems, cloud-native platforms, and complex AI/ML integration in security-sensitive enterprise environments.