Lead AI Application Engineer (Infrastructure & LLMOps)

Remote job R

INR 4000K-5500K (estimate) Senior-level Full Time

@ T...

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Found 1mo ago

Tasks

Architect and maintain multi tenant AI platform
Build RAG as a service
Build developer self service portal or CLI
Build embeddings as a service
Build inference as a service
Create templates and blueprints to reduce time to inference
Deploy and scale feature stores
Deploy and scale vector databases
Develop AI services catalogue
Ensure high availability and low latency
Implement LLMOps and MLOps automated deployment pipelines
Optimize data retrieval patterns
Oversee model hosting with Kubernetes and GPU orchestration
Provide documentation and internal workshops
Provision AI environments models and data stores
Standardize unified APIs for LLM access

Perks/Benefits

Skills/Tech-stack

Education

N/A

Roles

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