Genrative AI Engineer

0 years

0 Lacs

Posted:6 days ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Job Summary:

Data Scientist with strong expertise in Generative AI (GenAI)

Key Responsibilities:

  • Design, develop, and deploy GenAI models using LLMs, RAG, and other advanced frameworks.
  • Build and implement AI pipelines using cloud services (AWS/Azure/GCP).
  • Work with cross-functional teams to integrate AI models into business applications.
  • Manage tokenization strategies, chunking, vector stores, and prompt engineering for optimal GenAI performance.
  • Drive research and experimentation in Knowledge Graphs, Vision APIs, and Responsible AI practices.
  • Collaborate with engineering teams for production deployment using Docker, SQL, and versioning tools.
  • Ensure GenAI solutions follow best practices around hallucination control and ethical AI.

Must-Have Skills (GenAI):

  • Agent Framework
  • RAG Framework
  • Chunking Strategies
  • LLMs Understanding
  • AI on Cloud Services (AWS, Azure, GCP)
  • LangChain
  • Vector Databases
  • Token Management
  • Knowledge Graphs
  • Vision APIs
  • Prompt Engineering

Good-to-Have Skills:

  • AI Algorithms
  • Deep Learning
  • Computer Vision
  • Hallucinations Control Methodology
  • Responsible AI Methodology

Technical Skills (Tech):


  • Python (mandatory)
  • Docker
  • SQL
  • Versioning Tools (e.g., Git)
  • Cloud Platforms – AWS / Azure / GCP (at least one is mandatory)

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