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Sigmasoft - Generative AI Data Engineer

Sigmasoft - Generative AI Data Engineer

SigmasoftPune
12 days ago
Job description

Role : Gen AI- Data Engineer

Key Responsibilities :

  • Architect and implement generative AI and LLM-powered applications using frameworks such as LangChain, LangSmith, LlamaIndex, AutoGen, and Semantic Kernel.
  • Build scalable cloud-based solutions using Microsoft Azure AI Services , integrating with AWS (Boto3) and Google Cloud (Vertex AI).
  • Design and optimize vector search and database solutions using Chroma DB, FAISS, Pinecone, Qdrant, Milvus, and Cosmos DB to

enable efficient information retrieval.

  • Apply AI techniques including Retrieval-Augmented Generation (RAG), embedding generation, prompt engineering, fine-tuning LLMs, and Agentic AI approaches.
  • Perform document and image processing using Python-based tools such as PyPDF, PyOCR, and OpenCV.
  • Develop APIs and web applications to deploy AI models using frameworks like FastAPI, Flask, Streamlit, or Gradio.
  • Collaborate with cross-functional teams to integrate AI models with visualization tools such as Power BI and Tableau for business insights.
  • Continuously monitor, troubleshoot, and improve AI workflows to ensure robustness, scalability, and security.

    • Skills :

  • Proficient in Python programming, with experience in PyTorch, TensorFlow, and Hugging Face libraries.
  • Hands-on experience with generative AI and LLM frameworks including LangChain, LangSmith, LlamaIndex, AutoGen, Semantic

    • Kernel.

  • Skilled in cloud AI services such as Microsoft Azure AI Studio, Azure AI Search, Azure Cosmos DB, Azure Machine Learning, AWS

    • Boto3, and Google Cloud Vertex AI.

  • Experience with vector databases and search technologies including Chroma DB, FAISS, Pinecone, Qdrant, Milvus, and Cosmos DB.
  • Expertise in ETL pipeline design, data preprocessing, and managing multimodal workflows at scale.
  • Knowledge of AI methodologies such as Retrieval-Augmented Generation (RAG), embedding techniques, prompt engineering, and

    • fine-tuning LLMs.

  • Familiarity with document and image processing tools like PyPDF, PyOCR, and OpenCV.
  • Ability to develop and deploy AI models through APIs and web frameworks such as FastAPI, Flask, Streamlit, or Gradio.
  • Experience with data visualization tools like Power BI and Tableau is a plus.

    • (ref : hirist.tech)

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    Generative Ai Engineer • Pune