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Tier-1 brand, mid-level generalist title, metro location, and broad platform skillset increase competition.
Platform backend skills are transferable, but GenAI/agent specialization increases industry specificity.
Explicit 4+ years, mandatory backend/platform experience and specific tech stack raise shortlisting strictness.
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Design and build scalable backend and platform services enabling AI agent orchestration, execution, evaluation, and monitoring.
Integrate LLMs, AI agents, enterprise tools, and external systems into production-grade, secure, and reliable solutions.
Develop APIs, SDKs, observability tools, and ensure platform meets enterprise standards for security, governance, reliability, and auditability.
Bachelor’s or Master’s degree in Computer Science or related field.
4+ years of experience in backend, platform, or distributed systems engineering.
Strong programming skills in Java, Kotlin, Go, or Python with experience in scalable distributed systems and microservices architectures.
Experience with REST APIs, event-driven systems, cloud-native technologies, containers, Kubernetes, and CI/CD pipelines.
Experienced in designing and operating large-scale, distributed backend or platform systems in agile, cross-functional environments.
Familiar with AI/ML, GenAI, LLM integrations, agent orchestration frameworks, and platform development related to AI agents.
Skilled in ensuring enterprise-level security, reliability, governance, and observability for complex platform services supporting intelligent agents.