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AI Platform Engineer
Rubiscape
Pune, IND
Full-time
Mid · 4+ years experience
Onsite
Discovered 3 weeks ago
LangChainLlamaIndexWeaviateQdrantpgvectorPinecone
Free
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Role Overview
The AI Platform Engineer at Rubiscape is the architect of the infrastructure layer that powers RubiAI — our agentic AI copilot — and the shared AI services consumed by all six studios. You will build the foundations: LLM gateway, RAG orchestration layer, prompt management system, vector store integrations, and the real-time inference bus that serves enterprise customers across SaaS, BYOC, and air-gap topologies. This is a high-ownership role at the core of Rubiscape’s differentiation as a unified Decision Intelligence Platform with 8 international innovation patents.
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LangChainLlamaIndexWeaviateQdrantpgvectorPinecone
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About the Role
The AI Platform Engineer at Rubiscape is the architect of the infrastructure layer that powers RubiAI — our agentic AI copilot — and the shared AI services consumed by all six studios. You will build the foundations: LLM gateway, RAG orchestration layer, prompt management system, vector store integrations, and the real-time inference bus that serves enterprise customers across SaaS, BYOC, and air-gap topologies. This is a high-ownership role at the core of Rubiscape’s differentiation as a unified Decision Intelligence Platform with 8 international innovation patents.
Key Responsibilities
- · Design and operate Rubiscape’s LLM gateway: request routing, model failover, token budgeting, cost attribution, and rate-limit enforcement across multiple LLM providers and self-hosted models.
- · Build and maintain the RAG pipeline infrastructure — document chunking, embedding generation, vector store management (Weaviate/Qdrant/pgvector), and retrieval orchestration using LangChain or LlamaIndex.
- · Own the prompt management system: versioning, A/B evaluation, regression testing, and deployment of prompt templates used across RubiAI and studio co-pilots.
- · Architect low-latency inference APIs that serve both synchronous (sub-200ms) and streaming (SSE/WebSocket) AI responses to the Rubiscape front-end and third-party integrations.
- · Implement guardrails, content filtering, and PII redaction layers required for regulated-sector AI deployments in BFSI, healthcare, and government.
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