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RAG Engineer — Pinecone India
T1
Pinecone

RAG Engineer — Pinecone India

Pinecone is hiring RAG Engineers for India team. ₹35-70 LPA. Remote (India). Eligibility: 3+ years building vector-search applications. Required: deep vector DB + embeddings expertise, LLM application patterns. Direct apply.
private-mnc
RAG Engineer
mid
remote

Quick answer: 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.

About this RAG Engineer role at Pinecone

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.

What you'll do

  • Design and build vector-search applications using Pinecone, Weaviate, or Milvus vector databases at scale
  • Develop and optimize embeddings pipelines to power retrieval for LLM-based systems
  • Implement RAG (Retrieval-Augmented Generation) patterns that integrate vector stores with language models
  • Debug and improve semantic search quality and relevance in production systems
  • Collaborate with product and ML teams to ship RAG features and infrastructure

Who should apply

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.

Salary & offer in context

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.

Path to apply

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.

At a glance

Sector
Private-mnc
Apply mode
Linkedin
Role
RAG Engineer
Experience
Mid
Salary
₹2.9L–₹5.8L/mo
Location
Remote
Arrangement
Remote
Deadline
11 Jun 2026
Last verified
11 Jun 2026

Free course ladder to qualify for RAG Engineer roles

AIshala-vetted free courses sequenced for this role. Total prep time: 4 weeks.

Step 1
Free AI foundations
Teaches practical embeddings, chunking, and search optimization—core fundamentals for RAG systems.
Step 2
Practice + portfolio
Covers LLM application patterns and generative AI architecture foundation for RAG implementations.
Step 3
Apply with confidence
Directly teaches RAG agent design, retrieval patterns, and LLM integration—exactly what the role requires.

Frequently asked questions

How do I apply for this role?

Click Apply on Pinecone at the top of this page to go to the employer's official application form. AIshala does not collect applications — we link you directly to the source.

Is this role actively hiring?

Yes — we verify every listing and remove closed positions. The deadline (when set) is shown in the badge at the top. If you spot a stale listing, flag it via Contact and we'll review within 24 hours.

What free courses prepare me for this role?

Browse the course ladder section above — these are AIshala-vetted free courses sequenced for this specific role's skills. Estimated total prep time is shown next to each step.

Will AIshala help me with my application?

We don't directly mentor applicants, but our City Chapters have ambassadors and peer groups who do informal application reviews. Find your nearest chapter on the Chapters page.

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