Experience- Should Be Min 5+ Years

Notice Period- Imm- 30 Days.

Budget- As per the market standard

Job Description:

Key Responsibilities:

Design and develop AI-driven applications leveraging LLMs (Open AI, Hugging Face models, or local LLMs)

Build and optimize workflows using frameworks like Lang Chain, Llama Index, 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 (FAISS, Chroma, 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

Required Skills:

Strong experience with LLM frameworks (e.g., LangChain, LlamaIndex, Haystack)

Familiarity with LLM APIs such as OpenAI, Cohere, or local models via Hugging Face

Hands-on experience with prompt engineering and model fine-tuning (preferred)

Proficiency in vector databases: FAISS, Pinecone, or Chroma

Solid understanding of document processing: text chunking, embedding strategies, and retrieval pipelines

Knowledge of text-to-SQL model integration and query optimization

Experience with data visualization tools: Plotly, Vega-lite, or equivalent

Strong command of SQL and Python

Excellent problem-solving skills and ability to work in a fast-paced environment.