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Gen AI & Data Engineering (Azure)
Gainwell Technologies LLC
Remote, IND
Full-time
Senior · 5+ years experience
Remote
Discovered 6 days ago
Azure OpenAILlamaIndexSemantic KernelLangChainADLS Gen2Parquet
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Role Overview
We’re seeking a hands-on engineer who blends GenAI expertise with solid data engineering skills to design, build, and operationalize AI-enabled solutions on Azure. You’ll work across the lifecycle—from ingesting and modeling data to orchestrating LLM-powered workflows (incl. RAG )—with strong emphasis on reliability, security, cost efficiency, and measurable outcomes. The ideal candidate is comfortable converting moderately detailed requirements into robust designs and high-quality code. This role is strictly involved in development of product and does not involve direct access to Protected Health Information (PHI), Personally Identifiable Information (PII), or any secured or confidential client data. The work is limited to product development and does not include handling or processing of sensitive health or personal information.
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Azure OpenAILlamaIndexSemantic KernelLangChainADLS Gen2Parquet
Full Job Posting
Gen AI & Data Engineering (Azure)
Hyderabad, TG, IN, 500032
Summary
We’re seeking a hands-on engineer who blends GenAI expertise with solid data engineering skills to design, build, and operationalize AI-enabled solutions on Azure. You’ll work across the lifecycle—from ingesting and modeling data to orchestrating LLM-powered workflows (incl. RAG )—with strong emphasis on reliability, security, cost efficiency, and measurable outcomes. The ideal candidate is comfortable converting moderately detailed requirements into robust designs and high-quality code. This role is strictly involved in development of product and does not involve direct access to Protected Health Information (PHI), Personally Identifiable Information (PII), or any secured or confidential client data. The work is limited to product development and does not include handling or processing of sensitive health or personal information.
Your role in our mission
- Design and implement retrieval-augmented generation (RAG) pipelines: document preprocessing, chunking, embeddings, hybrid retrieval, grounding/citations, prompt templating.
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