AI Engineer

About this role

Role : AI Engineer

Experience : 3 - 8 years

About the Company

Virallens is a forward-thinking, technology-driven organisation dedicated to helping businesses scale, innovate, and lead in the age of Artificial Intelligence. We specialize in building intelligent solutions powered by cutting-edge generative AI technologies, transforming ideas into impactful real-world applications across a wide range of industries.

At Virallens, we thrive on collaboration, creativity, and speed. Our fast-paced environment empowers innovators, problem-solvers, and visionaries to make an immediate impact while shaping the future of AI-driven transformation.

About the Role

Responsibilities

• Design, prototype & deploy retrieval‑augmented generation systems: Architect scalable RAG pipelines that combine vector search, hybrid retrieval, re‑ranking and contextual compression techniques. 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, custom schemas) and integrate them into retrieval workflows to support reasoning and decision‑making.
• Optimise data pipelines and embeddings: Build and optimise data pipelines that convert incoming documents into high‑quality embeddings for AI retrieval. Tune chunk sizes, indexing frequencies and embedding strategies to enhance recall, factual accuracy and efficiency.
• Implement hybrid search & metadata filtering: Combine semantic and keyword search to improve precision and efficiency. Experiment with metadata filtering techniques to surface the most relevant conte...