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Bengaluru · Hybrid · 2-5 Yrs · Sep 28
1 views
1 open role0 posted in 7d1 in 30d
Hiring: Engineering
Job description
Hybrid
Overview
We are hiring for AI Data Engineer – Vector Database & RAG if you are interested, please feel free to share your CV to SyedaRashna@lancesoft.com
Responsibilities
- 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 new capability from the ground up
- 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.
Qualifications
- 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.
- Understanding of data governance, security, lineage, and audit requirements.
- Familiarity with LangChain, LlamaIndex, Databricks, Spark, Kafka, or Airflow.
- 8+ years of total Experiance in Data & AI with 4+ years working on AI/ML data platforms, semantic search, vector databases, or GenAI solutions and 2+ years of hands-on experience designing and deploying production-grade RAG solutions.
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Job application FAQ
Last updated 4 October 2026
- How do I apply for AI Data Engineer – Vector Database & RAG at LanceSoft India?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. LanceSoft India may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this AI Data Engineer – Vector Database & RAG role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is AI Data Engineer – Vector Database & RAG remote or on-site in Bengaluru, Karnataka?
- This listing is marked hybrid with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this AI Data Engineer – Vector Database & RAG role at LanceSoft India?
- This is a mid-level AI Data Engineer – Vector Database & RAG role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.