Job Specification — RAG Specialist (Engineering Document Intelligence)
Department: MetisEI — Metis Knowledge
Reports to: Lead Developer, MetisEI
Location: Pune
Type: Full time, permanent

Purpose of the Role:
MetisEI is CT Automotive's in-house AI-powered factory operating system and PLM platform. The Metis Knowledge stream ingests complex, highly structured automotive engineering and quality documents — PFMEA, DFMEA, Control Plans, Process Flows, KC lists, SIPs, SOPs, BOMs, ECRs and 8Ds — and serves them to AI agents and shop-floor systems where the retrieved content drives real production decisions and quality audits.
The RAG Specialist owns retrieval quality end to end. The defining challenge of this role: documents such as PFMEA and DFMEA are deeply structured — multi-level tables, row-and-column dependencies, severity/occurrence/detection linkages, cross-references between documents — and the data structure must be retained perfectly through ingestion, storage and retrieval. A retrieved PFMEA row that has lost its relationship to its failure mode,



cause or control is not degraded information; it is wrong information, in a context where wrong information reaches a factory floor.

Key Responsibilities:
• Design and own the ingestion pipeline for structured engineering documents: parsing, structure extraction and representation that preserves tables, hierarchies, cross-references and revision context with full fidelity.
• Own the retrieval architecture across the established hybrid design: whole-document context-window retrieval from Azure Blob for structured engineering documents, and embedded vector retrieval (Qdrant) for governance and knowledge content — including when each is used and how they combine.
• Guarantee structure-perfect retrieval: what is served to an agent or audit interface is verifiably faithful to the source document at the correct revision level, with no silent loss, flattening or reordering of structured content.
• Build retrieval evaluation

📌 RAG Specialist (Pune)
🏢 CT Automotive
📍 Pune