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Tier-1 brand plus attractive AI-platform role but niche seniority reduces applicant density.
Core distributed systems skills transferable, but LLM and agent-orchestration specificity raise domain bias.
Explicit 6+ years requirement and mandatory distributed systems, LLM, cloud, Kubernetes, and observability experience.
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Design, develop, and maintain the core AI platform and scalable infrastructure empowering intelligent developer workflows at Adobe.
Build and operate distributed backend services that manage context, agent orchestration, evaluation, and runtime execution supporting AI-powered interactions.
Lead architectural decisions and collaborate cross-functionally to integrate cutting-edge AI capabilities into production for software engineering efficiency.
6+ years of experience building large-scale distributed systems.
Proficiency in Python, Java, or similar backend programming languages.
B.Tech/M.Tech/M.S. degree in Computer Science or equivalent.
Experience with AI and GenAI applications, AI agents, agent orchestration frameworks, and cloud-native infrastructure such as Kubernetes and Docker.
Experienced engineer focused on scalable, highly available backend platforms for AI-powered developer tools.
Strong systems architect with background in agentic systems, multi-agent collaboration, and AI context management.
Comfortable working at the intersection of AI research and production-grade software infrastructure to improve developer productivity at scale.