
Generative AI Engineer
At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're 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 Dataiku’s platform and associated tooling. You’ll work with large language models (LLMs) from third-party providers (OpenAI, Anthropic, AWS Bedrock, Azure, etc.), build full-stack 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 you’ll make an impact
- Design end-to-end Generative AI solutions on Dataiku’s platform (or Python-based frameworks where needed).
- Integrate and optimize third-party 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 semi-autonomous 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 front-end user interfaces (UI) for AI applications using HTML, CSS, and JavaScript—often within Dataiku’s 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 AI-driven 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 you’ll 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 third-party LLMs (OpenAI, Anthropic, AWS Bedrock, Azure) or other NLP/AI APIs.
- Bachelor’s or Master’s in Computer Science, Data Science, Engineering, or a related field; equivalent experience also considered.
- Demonstrated ability to integrate multiple technologies, optimize workflows, and deliver user-friendly AI solutions.
- Strong communication and presentation skills, capable of collaborating effectively with both technical and non-technical stakeholders.
- Problem-solving 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.
The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program.
Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.
US only national base pay ranges
$162,000 - $185,000 USD
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