Senior AI Engineer

Responsibilities

• Deploy and manage Milvus vector databases including schema design and index tuning with HNSW and IVF-FLAT
• Build embedding and LLM framework pipelines leveraging OpenAI API, Hugging Face or Cohere
• Manage Kubernetes clusters, Helm charts and containerized microservices for scalable orchestration
• Implement Docker containerization with multi-stage builds and registry management
• Develop production-level applications in Python along with Go, Java or C++ Integrate object storage systems including AWS S3, MinIO or Google Cloud Storage
• Support large-scale RAG applications and multi-agent platforms Optimize compute and inference through GPU scheduling, resource optimization and inference acceleration
• Drive search optimization with hybrid search, metadata filtering and index tuning
• Collaborate effectively with the team to deliver high-quality solutions

Languages