ટૂંકમાં: Pinecone is hiring RAG Engineers (3+ years) for India remote role, ₹35–70 LPA. Build vector-search and LLM applications. Direct apply via LinkedIn. Private-sector AI engineering role; GPS eligible.
Pinecone is a vector database platform powering AI applications globally, and they're hiring RAG Engineers for their India team in a fully remote role. If you're a mid-level engineer with 3+ years building with vector search, this is a direct path to work on retrieval-augmented generation systems—the backbone of modern LLM applications—without relocation.
You need 3+ years of hands-on experience building with vector databases and embeddings. This is a mid-level role, not entry-level—you should be comfortable working independently on LLM application architecture. Deep knowledge of vector DB internals (indexing, quantization, distance metrics) and real-world RAG patterns are non-negotiable. No formal degree requirement; what matters is your portfolio and shipped projects.
The posted range is ₹35–70 LPA (₹2,92,000–₹5,83,000/month). For a mid-level RAG Engineer role in India's AI sector, this is competitive—RAG Engineer salaries in India typically range ₹40–70 LPA depending on company stage and your specific depth in vector databases. Pinecone's scale and funding tier push toward the higher end.
This is a direct application via LinkedIn—no exams, no multi-round filtering through government channels. You apply straight to Pinecone's careers page or LinkedIn job posting. The deadline is June 11, 2026, so apply within the next 2–3 weeks if interested. Remote anywhere in India; you'll work with Pinecone's India engineering hub.
આ role માટે AIshala-ચકાસાયેલ free courses અહીં છે, ક્રમમાં. કુલ સમય: 4 અઠવાડિયા.
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