AI Architect and DevOps Leader

16 hours ago

surat, India beBeeAIENGINEER Full time

Job Title:Senior AI Platform DevOps EngineerRole Description:We are seeking an experienced Senior AI Platform DevOps Engineer to design and operate a highly available, scalable, modular AI platform using cutting-edge technologies. The successful candidate will be responsible for building essential APIs and infrastructure to power conversational applications, AI agents, and analytics tools.Key Responsibilities:Design and operate a highly available, scalable, modular AI platform using Qdrant, Anyscale, and Ray.Develop core infrastructure components to support LLM orchestration, vector search, and multi-agent frameworks.Benchmark and optimize deployment performance.Collaborate with cross-functional teams to drive project success.Requirements: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 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.Hands-on expertise with CI/CD pipelines, model observability, and incident response for AI/ML services.PREFERRED QUALIFICATIONS:Experience implementing and optimizing Platforms supporting large language model (LLM) pipelines with frameworks such as LangChain, LlamaIndex, Hugging Face Transformers, or similar.Hands-on knowledge of Scaling & Setting up Vector DB platforms such as Qdrant (or other vector DBs like Pinecone, Weaviate) for semantic search and embeddings management.Exposure to MLOps tools, Ray.io, Anyscale or other distributed orchestration & inference frameworks.Experience with developing and deploying containerized applications using Docker and Kubernetes, including Helm charts and automated scaling.Understanding of LLMOps patterns—model registry, prompt versioning, and feedback loops.

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    surat, India beBeeMachineLearning Full time

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