Data Scientist - Generative AI

0 years

0 Lacs

Posted:2 weeks ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Primary Responsibilities

  • Built and implemented enterprise-level GenAI chatbots capable of natural-language search over extensive document repositories and databases.
  • Research and develop multi-agentic systems for production-grade applications that handle large-scale documents and big data
  • Optimize vector databases for enterprise-scale semantic search, context management, chat history, and source attribution
  • Build document processing pipelines with intelligent chunking, metadata extraction, and multi-format handling
  • Implement advanced retrieval strategies: hybrid search, re-ranking, and custom evaluation frameworks
  • Work in AWS cloud platform for deployment - handle concurrent requests and scale
  • Integrate and optimize LLMs via AWS Bedrock, or Azure with hallucination mitigation
  • Debug and resolve retrieval quality issues, latency bottlenecks, and cost optimization challenges
  • Opportunity to mentor and shape GenAI practices across the organization
  • Individual Contributor reporting to Engineering Manager

Skills Required

  • Experience building GenAI applications from scratch including custom chunking strategies, metadata extraction, multi-format document processing pipelines, indexing, context management, memory management, fine-tuning techniques, model compression techniques, etc. (Must be able to demonstrate through technical justification and code)
  • Vector database production implementation: indexing, retrieval optimization, performance tuning
  • Embeddings and semantic search: sentence-transformers, similarity search, distance metrics implementation
  • Advanced retrieval techniques: hybrid search (semantic + keyword), multi-stage retrieval
  • Production LLM integration / hosting: context management, token optimization, streaming responses, citation systems
  • Evaluation & metrics for RAG systems & chatbots
  • Knowledge of deployment, monitoring, ethics, and governance principles; RESTful API development with FastAPI including error handling
(ref:hirist.tech)

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Aurigo Software Technologies logo
Aurigo Software Technologies

Software / Information Technology

Austin

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