Senior AI Engineer with Kubernetes

Responsibilities

• Deploy and manage Milvus vector databases, including schema design and index tuning (HNSW, IVF-FLAT)
• Build and maintain embedding and LLM pipelines using OpenAI API, Hugging Face, or Cohere
• Manage Kubernetes clusters, Helm charts, and containerized microservices in production
• Develop and maintain Docker containerization workflows, including multi-stage builds and registry management
• Design and deliver production-grade Python applications, integrating with Go, Java, or C++ where required Integrate object storage systems such as AWS S3, MinIO, or Google Cloud Storage Evaluate and implement alternative vector database solutions, including Qdrant, Pinecone, and Weaviate
• Collaborate cross-functionally with team members to deliver reliable, scalable AI services Ensure operational excellence, observability, and performance of deployed AI workloads

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