Responsibilities

• Design and develop AI-driven applications leveraging LLMs such as OpenAI, Hugging Face models, or local LLMs.
• Build and optimize workflows using frameworks like LangChain, LlamaIndex, or Haystack.
• Engineer effective prompts for various use cases, ensuring accuracy and consistency.
• Integrate text‑to‑SQL models to convert natural language queries into database operations.
• Work with vector databases such as FAISS, Chroma, or Pinecone for semantic search and retrieval tasks.
• Implement document processing pipelines including PDF ingestion, text chunking, and embedding generation.
• Generate interactive data visualizations using Plotly, Vega‑lite, or JSON‑based charting tools.
• Collaborate with data engineers, analysts, and product teams to deliver robust AI solutions.
• Maintain clean, modular, and scalable Python code.

Qualifications

• Strong experience with LLM...