AI Infrastructure Development Lead

3 days ago

vadodara, India beBeeInfrastructure Full time

Lead AI Infrastructure EngineerWe are seeking a highly skilled Lead AI Infrastructure Engineer to lead the development of a highly available, scalable, modular AI platform using Qdrant, Anyscale, and Ray.Main Responsibilities:Design and build a highly available, scalable, modular AI platform to support LLM orchestration, vector search, and multi-agent frameworks.Built essential APIs and infrastructure to power conversational applications, AI agents, and analytics tools.Implement workflows for Large Language Models, including inference pipelines, fine-tuning, caching, and evaluation for open-weight and hosted models.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.Collaborate with engineering teams, research teams to deliver production-grade, self-healing, and performance-optimized services for AI/RAG pipelines , establish governance/security standards, and mentoring junior engineers in AI infrastructure best practices & reviews.Requirements:8+ years of experience as Platform Engineer ( Site Reliability / DevOps Engineer) , with at least 3+ years in AI/ML platform development ( MLOps ).Deep expertise in Python, with strong design and debugging skills.Ability to work independently and lead complex projects with Excellent problem-solving, analytical, and communication skills.Proficiency working with cloud platforms such as AWS, GCP, or Azure and familiarity with MLOps/AI DevOps tools like MLflow or Kubeflow, proficient in CI/CD , infrastructure as code (Terraform / CloudFormation).Hands-on expertise with CI/CD pipelines, model observability, and incident response for AI/ML services.About Us:The ideal candidate will be able to drive innovation and excellence in our AI infrastructure team. If you have a passion for building scalable, reliable, and secure AI systems, we encourage you to apply.

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