Position Overview
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 framew...