Generative AI Engineer

At Dataiku were not just adapting to the AI revolution were leading it. Since our beginning in Paris in 2013 weve been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1000 teammates across 25 countries and backed by a renowned set of investors were the architects of Everyday AI enabling data experts and domain experts to work together to build AI into their daily operations from advanced analytics to Generative AI.

As a Generative AI Engineer on the ED&A team you will design develop and deploy enterprise AI applications for internal stakeholders primarily using Dataikus platform and associated tooling. Youll work with large language models (LLMs) from thirdparty providers (OpenAI Anthropic AWS Bedrock Azure etc. build fullstack web applications and create specialized Agents (and corresponding Agent Tools) capable of executing complex tasks. Success in this role requires strong programming abilities (Python SQL HTML/CSS/JS) excellent communication skills and a deep interest in operationalizing generative AI across the company.

How youll make an impact

• Design endtoend Generative AI solutions on Dataikus platform (or Pythonbased frameworks where needed).
• Integrate and optimize thirdparty LLM APIs (OpenAI Anthropic AWS Bedrock Azure) focusing on prompt engineering and orchestration (e.g. LangChain).
• Build and maintain robust data pipelines ensuring AI applications are performant and secure.
• Develop and implement autonomous or semiautonomous AI Agents that interact with multiple data sources and services.
• Design Agent Tools (e.g. data retrieval modules decisioning logic automated workflows) that Agents can leverage to fulfill complex tasks.
• Monitor Agent performance and iterate based on usage data business feedback and changing requirements.
• Create frontend user interfaces (UI) for AI applications using HTML CSS and JavaScriptoften within Dataikus webapps framework.
• Collaborate on UX design ensuring internal stakeholders find solutions intuitive and responsive.
• Work closely with analytics and data engineering teams to maintain metadata on reference datasets for LLM consumption.
• Adhere to data governance security and regulatory compliance requirements for all GenAI solutions.
• Partner with stakeholders to identify opportunities for AIdriven process optimization and automation.
• Provide product feedback to the development team to improve the product.
• Stay current with industry trends particularly around AI agent frameworks and LLM best practices (LangChain prompt engineering vector databases).

What youll need to be successful

• Must have strong Python skills (including familiarity with typical data science libraries).
• Experience developing AI ML or analytics solutions in a production setting (generative AI/LLM experience is a plus but not strictly required).
• Web development fundamentals (HTML CSS JavaScript); experience with Dataiku webapps or similar frameworks a bonus.
• Familiarity with LangChain or similar LLM orchestration libraries is strongly preferred.
• Exposure to thirdparty LLMs (OpenAI Anthropic AWS Bedrock Azure) or other NLP/AI APIs.
• Bachelors or Masters in Computer Science Data Science Engineering or a related field; equivalent experience also considered.
• Demonstrated ability to integrate multiple technologies optimize workflows and deliver userfriendly AI solutions.
• Strong communication and presentation skills capable of collaborating effectively with both technical and nontechnical stakeholders.
• Problemsolving mindset with a passion for innovation and delivering measurable business value.
• Openness to learning new tools (e.g. Dataiku) and adapting to an evolving tech landscape.
• Must be currently based within EST timezone.