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Tier-1 brand, metro Bangalore, mid-level generalist backend role, and broad skill requirements increase applicant competition.
Backend/platform skills are transferable, but AI-agent and enterprise compliance focus increases domain specificity.
Explicit 5–8 years, mandatory 60% coding expectation, and platform/infrastructure requirements create strict filters.
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Own end-to-end production components for Rippling's AI Platform including backend systems for AI agents, workflows, eval frameworks, data pipelines, and reliability infrastructure.
Build scalable platform systems and improve observability, operational maturity, and performance of AI platform services.
Collaborate with cross-functional teams to translate ambiguous problems into production-ready solutions and mentor junior engineers.
5–8 years of software engineering experience, preferably in backend/platform/infrastructure/distributed systems.
Strong programming skills in at least one language: Python, Java, Go/Golang, C++, Scala, Kotlin, or C#.
Experience building and operating scalable backend or platform systems in production.
Ability to independently own components and write production-quality code with 60% coding time mandatory.
Engineer with strong system design fundamentals in APIs, databases, concurrency, observability, and production operations.
Experience or practical knowledge in AI agents, LLM infrastructure, automation, ML/data infrastructure, or related AI system components.
Prior experience in high-growth product environments and familiarity with workflow orchestration, reliability platforms, and security-sensitive or compliance-heavy enterprise SaaS platforms.