Artificial Intelligence Infrastructure Developer

18 hours ago


tiruppur, India beBeeAI Full time

Artificial Intelligence Infrastructure DeveloperWe are seeking an experienced developer to create and maintain a scalable, modular AI infrastructure using Qdrant, Anyscale, and Ray.You will be responsible for building a highly available platform to support Large Language Model orchestration, vector search, and multi-agent frameworks.Core infrastructure development involves designing essential APIs and infrastructure to power conversational applications, AI agents, and analytics tools.You will implement workflows for Large Language Models, including inference pipelines, fine-tuning, caching, and evaluation for open-weight and hosted models.Deployment and performance optimization involve 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, and mentorship require partnering with engineering teams and research teams to deliver production-grade, self-healing, and performance-optimized services for AI/RAG pipelines.Responsibilities:Platform Design and Architecture: Building and operating a highly available, scalable, modular AI platform using technologies such as Qdrant, Anyscale, and Ray to support LLM orchestration, vector search, and multi-agent frameworks.Core Infrastructure Development: Building essential APIs and infrastructure to power conversational applications, AI agents, and analytics tools.LLM 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.



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