In this role, you will collaborate closely with one of our esteemed clients—a globally recognized leader in their industry, distinguished by their commitment to excellence, innovation, and delivering exceptional value. As a trusted IT consulting partner,
Dautom
is supporting their strategic initiatives by connecting them with exceptional talent to drive business growth and transformation.
Job Role: AI Data Engineer – Vector Database & RAG
Work Location: Remote (India)
Notice Period: Immediate – 30 Days
Description:
The role will be responsible for designing, building, governing, and operating the enterprise vector database platform used across AI and GenAI use cases.
The candidate must combine:
- Hands-on vector database expertise preferably Oracle 26 AI / Milvus or any other vector database.
- Production experience building RAG solutions
- Strong data engineering fundamentals
- Understanding of AI data governance, security, lineage, and operational controls
- Ability to establish a recent capability from the ground up
Key Responsibilities
- Design and manage vector database architecture and retrieval services.
- Build end-to-end RAG pipelines including ingestion, chunking, embedding, indexing, and retrieval.
- Develop scalable data pipelines for structured and unstructured data.
- Implement data quality, metadata, lineage, security, and access controls.
- Optimize retrieval accuracy, performance, scalability, and operational monitoring.
- Establish governance and reusable standards for enterprise AI use cases.
Required Skills & Experience
- Hands-on experience with Vector Databases (e.g., Milvus, Oracle AI Vector Search, Pinecone, Weaviate, Qdrant, pgVector).
- Proven experience delivering production-grade RAG solutions.
- Strong Python, SQL, and Data Engineering expertise.
- Knowledge of embeddings, semantic search, hybrid search, reranking, and LLM integration.
- Experience with APIs, CI/CD, containers, and cloud/on-prem platforms.
- Understanding of data go
📌 AI Data Engineer – Vector Database (India)
🏢 Dautom
📍 India