Cutting Edge AI Platform Architect

6 days ago


india beBeeExpertise Full time

AI Infrastructure SpecialistThis is a great opportunity for experienced engineers who want to work on cutting-edge AI technology.As an AI Infrastructure Specialist, you will be responsible for designing and operating a highly available, scalable, modular AI platform using technologies such as Qdrant, Anyscale, and Ray.Key responsibilities include:Platform Design and Architecture: Building and operating a highly available, scalable, modular AI platform using technologies such as Qdrant, Anyscale, and Ray.Core Infrastructure Development: Developing essential APIs and infrastructure to power conversational applications, AI agents, and analytics tools.Large Language Model Operational Solutions: Implementing workflows for Large Language Models, including inference pipelines, fine-tuning, caching, and evaluation for open-weight and hosted models.Deployment & Performance Optimization: Deploying 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: Partnering with engineering teams and research teams to deliver production-grade, self-healing, and performance-optimized services for AI/RAG pipelines , establishing governance/security standards, and mentoring junior engineers in AI infrastructure best practices.The ideal candidate should have 8+ years of experience as a Platform Engineer (Site Reliability/DevOps Engineer) with at least 3+ years in AI/ML platform development (MLOps). Deep expertise in Python is required. The candidate should also have proficiency working with cloud platforms such as AWS, GCP, or Azure and familiarity with MLOps/AI DevOps tools like MLflow or Kubeflow.



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