AI Platform Developer

4 days ago

bangalore, India beBeeArtificialintelligence Full time

Job Title: AI Platform EngineerSenior AI Platform DevOps EngineerThis role involves designing, developing and operating a highly available, scalable, modular AI platform. The technologies used include Qdrant, Anyscale, and Ray to support Large Language Model (LLM) orchestration, vector search, and multi-agent frameworks.Main Responsibilities:Platform Design and Architecture: Build essential APIs and infrastructure for conversational applications, AI agents, and analytics tools.Core Infrastructure Development: Implement workflows for LLMs, including inference pipelines, fine-tuning, caching, and evaluation for open-weight and hosted models.Deployment & Performance Optimization: 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: Partner 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.

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