AI Engineer (LLM & Data Applications)

Job Description Roles & 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 Desired Candidate Profile 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 Employment Type Full Time Company Industry RecruitmentPlacement FirmExecutive Search Department / Functional Area Engineering Keywords Data PipelinesCloud Computing AWSGCPAzureDeep LearningMachine Learning Engineer LLMAI SpecialistPyTorchAI Solutions EngineerLLM Software Engineer Get real-time job updates only on our App