Vector Database Engineer

Job Summary

A company is looking for a Vector Database Engineer.

Key Responsibilities

• Develop and optimize scalable semantic search and retrieval systems using vector databases
• Implement machine learning pipelines and integrate large language models (LLMs) into applications
• Collaborate with cross-functional teams to ensure efficient data indexing and optimization on cloud platforms

Required Qualifications

• 3 to 5 years of experience with vector databases (e.g., Pinecone, FAISS, Milvus, Weaviate)
• Proficiency in Python and experience with RESTful APIs
• Familiarity with cloud platforms such as AWS, Azure, or GCP
• Experience with containerization tools like Docker and orchestration platforms like Kubernetes
• Knowledge of CI/CD pipelines and Agile methodologies