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About the role
AI Platform Engineer Agentic AI & Distributed Systems Role Overview We are looking for a highly skilled Platform Engineer to build and scale enterprise-grade AI technology focused on Agentic AI systems, Large Language Models (LLMs), distributed orchestration, and cloud-native infrastructure. The ideal candidate will have strong expertise in AI engineering, backend systems, Kubernetes-based deployments, and modern programming frameworks to help design, develop, and operate scalable AI-native platforms and autonomous agent ecosystems. Key Responsibilities * Design, develop, and optimize Agentic AI systems, multi-agent orchestration frameworks, and AI workflow platforms. * Build and maintain scalable infrastructure for LLM training, fine-tuning, inference, and evaluation pipelines. * Develop backend services, APIs, orchestration layers, and automation frameworks using Python and TypeScript. * Engineer cloud-native distributed systems using Kubernetes, Docker, and modern DevOps practices. * Implement CI/CD pipelines, observability, infrastructure automation, and platform reliability tooling. * Work with vector databases, knowledge graphs, retrieval systems, and AI memory architectures. * Optimize GPU workloads, model serving infrastructure, and inference performance. * Build secure, production-grade AI deployment pipelines across development, staging, and production environments. * Collaborate with product, research, and engineering teams to deliver enterprise AI solutions. * Contribute to platform architecture, scalability, resilience, and operational excellence initiatives. Required Skills & Experience * Strong hands-on experience with Agentic AI frameworks and AI orchestration systems. * Experience building applications using LLMs, AI agents, RAG architectures, and autonomous workflows. * Solid understanding of language model training, fine-tuning, evaluation, and inference optimization. * Proficiency in Python programming for AI/ML .