AI Platform Engineering Lead

13 hours ago


Jamnagar, India beBeeDevops Full time

Job DescriptionWe are seeking a highly skilled Senior AI Platform DevOps Engineer to join our team.Platform Design and Architecture: This role involves designing and operating a highly available, scalable, modular AI platform using technologies such as Qdrant, Anyscale, and Ray to support Large Language Model (LLM) orchestration, vector search, and multi-agent frameworks.Core Infrastructure Development: The successful candidate will be responsible for building essential APIs and infrastructure to power conversational applications, AI agents, and analytics tools.LLM Operational Solutions: We need someone who can implement workflows for LLMs, including inference pipelines, fine-tuning, caching, and evaluation for open-weight and hosted models.Deployment & Performance Optimization: The ideal candidate will deploy AI services on AWS with Kubernetes (EKS), Lambda, and ECS, ensuring scalability and resilience while optimizing vector databases and model runtimes for cost and performance.Collaboration, Governance, & Mentorship: Our team is looking for a collaborative engineer who can partner with engineering teams and research teams to deliver production-grade, self-healing, and performance-optimized services for AI/RAG pipelines, establish governance/security standards, and mentor junior engineers in AI infrastructure best practices.



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