Document Retrieval AI Lead

7 - 10 years

35 - 60 Lacs

Posted:-1 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Key Skills:

Roles and Responsibilities:

  • Own end-to-end RAG solutions, orchestrating chunking, embedding, ranking, prompting, and answer synthesis for production-grade GenAI assistants.
  • Define and track precision, recall, latency, and user-adoption KPIs; drive continuous improvement based on measurable outcomes.
  • Collaborate with engineers, UI/UX designers, and business experts to release improvements at pace.
  • Lead and mentor a small squad of AI engineers, guiding and coaching them to excel in their roles.
  • Stay current with retrieval research and share knowledge generously within the team

Skills Required:

  • Expertise in Python and PySpark for large-scale data processing and AI workflows.
  • Strong understanding of Retrieval-Augmented Generation (RAG) pipelines and LLM-based systems.
  • Experience in vector databases, embeddings, and ranking algorithms.
  • Deep knowledge of AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
  • Hands-on experience with information retrieval, NLP, and document understanding techniques.
  • Strong problem-solving, algorithmic thinking, and system design skills.
  • Familiarity with cloud environments (AWS, Azure, or GCP) and distributed data systems.
  • Ability to mentor and guide AI engineers, fostering technical growth within the team.
  • Excellent written documentation and communication skills to convey complex AI concepts clearly.

Education:

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