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Tier-1 brand, mid-level generalist role, and metro location increase candidate competition.
Requires specialized AI platform and distributed-systems expertise, limiting cross-industry transferability.
Explicit 6+ years, distributed systems and GenAI platform experience make filters strict.
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Build and maintain a scalable AI platform enabling intelligent developer workflows and AI agents across Adobe engineering teams.
Develop and manage distributed backend services for AI agent orchestration, context management, evaluation, observability, and runtime execution.
Collaborate cross-functionally to implement modern AI capabilities and drive architectural decisions for multi-agent systems, memory, and context management.
6+ years of experience in building large-scale distributed systems.
Proficient in Python, Java, or similar backend programming languages.
B.Tech/M.Tech/M.S. in Computer Science or equivalent degree.
Experience with scalable, highly available backend platforms and knowledge of cloud-native infrastructure, Kubernetes, Docker, and related developer infrastructure.
Experienced in AI or GenAI applications, including LLM-powered systems, AI agent orchestration frameworks, context management, and evaluation frameworks.
Comfortable designing and operating low-latency, reliable backend services for complex AI workflows at scale.
Able to influence architectural decisions and improve developer engineering efficiency by embedding advanced AI models and tools.