Hire Dedicated Vector DB / Embedding Engineers — India, US, UK & Australia
Hire pre-vetted vector database and embedding engineers who build the semantic-search and retrieval foundations behind AI applications. Golonex places dedicated India-based engineers with US, UK, Australian, and Indian teams — working in your timezone, under NDA, integrated within one week and with no lock-in.
What a Vector DB / Embedding Engineer does
A vector DB / embedding engineer designs how data is embedded, indexed, and retrieved for similarity search: choosing embedding models, tuning index types and distance metrics, managing metadata filtering, and scaling retrieval for low latency. Our engineers work across Pinecone, Weaviate, Qdrant, Milvus, and pgvector, and optimise recall, cost, and speed for production semantic search.
Core expertise
What a Golonex Vector DB / Embedding Engineer builds for you
How it works
Engagement models
Based in India, working in your timezone. Onsite options available across the US, UK, and India.
Category
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Data, AI & ML Engineers
The Golonex difference
Named, pre-vetted engineers
Every Vector DB / Embedding Engineer is screened for technical depth, communication, and reliability before you meet them — a sub-30% pass rate at the technical stage.
Integrated within 1 week
From enquiry to working team member in 5 business days. We handle onboarding, NDA, and access logistics.
Your timezone
India-based talent working overlapping hours with US, UK, and Australian teams. Daily standups and real-time collaboration, agreed upfront.
NDA-protected, no lock-in
Full IP and confidentiality protection as standard. Month-to-month engagements — scale up or down as your project evolves.
Hiring a Vector DB / Embedding Engineer — FAQs
How quickly can I hire a vector database engineer through Golonex? +
Usually within one week. We shortlist pre-vetted engineers matched to your store — Pinecone, Weaviate, Qdrant, or pgvector — you interview them, and the selected engineer is onboarded within 5 business days.
Do your vector DB engineers work in my timezone? +
Yes. Our engineers are India-based but work overlapping hours with US, UK, and Australian teams. The overlap window is agreed up front so design reviews and pairing happen in real time.
How do they choose between vector databases? +
Our engineers weigh your scale, latency targets, filtering needs, and infrastructure. A managed store like Pinecone suits fast setup; Weaviate, Qdrant, or Milvus suit self-hosting and control; pgvector suits teams already on Postgres. They recommend based on your constraints, not a single favourite.
Can they improve search relevance in an existing system? +
Yes. A common engagement is tuning recall and relevance — revisiting the embedding model, chunking, index parameters, and hybrid search — then measuring improvements so gains are demonstrable rather than assumed.
How do you vet vector database engineers? +
Every candidate passes a technical assessment on real retrieval and indexing scenarios plus an architecture review, a communication assessment, and reference checks from at least two prior engagements. Our technical pass rate is under 30 percent.
Ready to hire a Vector DB / Embedding Engineer?
Tell us the role, stack, and timeline. We'll match you with a named, pre-vetted engineer — integrated within 1 week.