We are looking for a skilled and motivated
AI Engineer to join our team, with a strong focus on developing applications using
Large Language Models (LLMs) and related technologies. The ideal candidate will have experience working with modern LLM frameworks, prompt engineering, vector databases, and structured data integration. You will play a key role in designing, building, and deploying intelligent solutions that interact with unstructured and structured data for advanced query and visualization use cases.
Key Responsibilities
- Design and develop AI-driven applications leveraging LLMs (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 (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
