Generative AI Engineer for Data Systems
il y a 2 jours
About the job Generative AI Engineer for Data SystemsGenerative AI Engineer for Data SystemsTransforming data workflows through agentic AI, conversational interfaces, and AI-assisted analyticsPosition OverviewWe are seeking a Generative AI Engineer for Data Systems to lead the design and integration of AI-first tooling for modern data workflows. This role focuses on building AI-powered services such as information extraction pipelines, smart questionnaires, AI pair-programming assistants, and natural language interfaces to democratize access to data and accelerate productivity across statistical, engineering, and analytical teams.Key ResponsibilitiesGenAI-Enabled Data WorkflowsDesign and deploy AI agents that automate steps in data pipelines (e.g., transformation, validation, documentation)Develop workflows that combine LLMs with data tools (SQL engines, ETL jobs, metadata catalogs)Integrate agentic AI frameworks into notebooks, dashboards, and API layersBuild systems where LLMs assist in tasks such as table joining, schema inference, or chart creationImplement smart, AI-assisted questionnaires that adapt based on user input or metadataBuild NLP-powered survey tools that recommend questions, auto-fill responses, or extract structured data from free textEnhance survey response validation and quality using LLM-based reasoning and logicAI Pair-Programming for Data PractitionersIntegrate AI coding copilots into environments used by statisticians, data scientists, and engineersProvide context-aware code generation, auto-documentation, and test creation inside IDEs (RStudio, VSCode, Jupyter)Build internal copilots for tasks such as model diagnostics, pipeline debugging, or script refactoringCollaborate with users to understand pain points and optimize prompt engineering strategiesNatural Language & Conversational InterfacesDevelop conversational data tools that allow users to ask questions and get answers directly from structured and unstructured datasetsEmbed GenAI-powered search and exploration into data catalogs, dashboards, and web interfacesFine-tune or prompt-engineer LLMs for safe, accurate, and explainable answers in data contextsIntegrate multi-modal interfaces where users can speak, type, or upload to interact with datasetsRequired QualificationsTechnical Skills6+ years working at the intersection of data engineering , machine learning , or AI toolingHands-on experience with LLMs and frameworks like LangChain , Haystack , OpenAI , or TransformersProficiency in Python and experience working with data tools (SQL, pandas, dbt, Apache Airflow)Familiarity with frontend or UI libraries for chatbot-like or form-based applications (Streamlit, Gradio, Shiny)Experience integrating or fine-tuning LLMs for structured data tasks or decision supportUnderstanding of prompt engineering , retrieval-augmented generation (RAG), and embedding techniquesComfort working with cloud APIs (OpenAI, Cohere, Anthropic) and vector databases (FAISS, Weaviate, Chroma)Ability to build secure, governed systems for LLM deployment in enterprise settingsPreferred QualificationsDegree in Computer Science, Data Science, Statistics, or a related fieldExperience working with or supporting data scientists and statisticiansFamiliarity with knowledge graphs, metadata standards, and semantic searchBackground in UX design for AI interfaces or conversational agentsAwareness of ethical, legal, and safety concerns when applying GenAI to data #J-18808-Ljbffr
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