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.