Data Scientist – Prompt Engineering

7 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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Remote

Job Type

Contractual

Job Description

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About the Role

Data Scientist specialized in Prompt Engineering, Generative AI, and NLP


Key Responsibilities

  • Partner with clients to gather business requirements and translate them into AI/ML solutions.
  • Design and implement

    Retrieval-Augmented Generation (RAG) architectures

    for knowledge-intensive tasks.
  • Apply

    prompt engineering techniques

    to optimize LLM performance.
  • Develop

    agentic AI workflows

    using multi-agent and autonomous frameworks.
  • Fine-tune and deploy

    NLP/Generative AI models

    for summarization, Q&A, and conversational AI use cases.
  • Document structured reasoning chains to ensure transparency and reproducibility.
  • Collaborate with engineering teams to

    integrate AI solutions into client environments

    .

Required Skills

  • 4–7 years of experience in

    AI/ML, NLP, or Generative AI

    .
  • Proven experience in

    client-facing roles

    with strong communication skills.
  • Hands-on expertise with frameworks such as

    LangChain, LangGraph, LlamaIndex

    (or similar).
  • Strong programming skills in

    Python

    , with experience in

    PyTorch/TensorFlow

    and

    Hugging Face

    .
  • Proficiency in

    vector databases

    (Pinecone, FAISS, Weaviate, Chroma).
  • Familiarity with

    cloud platforms

    (AWS, Azure, or GCP).

Nice to Have

  • Experience in

    end-to-end GenAI product development

    (from POC to production).
  • Background in

    LLM fine-tuning and optimization

    .
  • Knowledge of

    Responsible AI practices

    and

    Data Governance

    .


pushing the boundaries of Generative AI

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