Senior AI Engineer - Proofline
senior
via Ashby
About this role
Senior AI Engineer — Retrieval & Knowledge (RAG)
Location Bengaluru (hybrid)
Experience Indicative 5–8 years
About the role
This role owns the capability end to end, from ingestion to retrieval quality, connecting across multiple sources of information for research institutions and enterprise research teams.
Responsibilities
• Own the retrieval pipeline: document ingestion, chunking, embeddings, hybrid search, reranking.
• Build dual-corpus retrieval across published literature and private institutional documents, with provenance.
• Build citation and identifier resolution (DOI/arXiv-class) and large-corpus onboarding.
• Own retrieval evaluation: build the harness, set the metrics, prove improvement release over release.
Requirements…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python
2
Level fit
This role is senior-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in a specific location. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
python