AI Engineer

About the role

AI Engineer at Virallens. Design, prototype & deploy retrieval‑augmented generation systems: Architect scalable RAG pipelines that combine vector search, hybrid retrieval.

What you'll do

• Design, prototype & deploy retrieval‑augmented generation systems: Architect scalable RAG pipelines that combine vector search, hybrid retrieval
• Build and integrate vector search systems (e.g. Milvus, pgvector, FAISS, Weaviate) for high‑recall retrieval across structured and unstructured data
• Develop hybrid retrieval and knowledge‑driven pipelines: Design hybrid retrieval systems that blend semantic, symbolic and graph‑based methods
• Create custom chunking and encoding strategies to store operational knowledge in vector databases and knowledge graphs
• Build knowledge graphs & integrate them into retrieval workflows: Architect knowledge graphs (Neo4j, RDF

What you need

• 3–8 yrs of experience
• LLMs
• ETL
• AWS
• GCP
• Docker
• Kubernetes
• PhD or M.Tech or MCA or M.Sc

Good to have

• Machine learning
• Prototyping
• Next.js
• React
• Azure