Generative AI Engineer, Dataiku
$162-185k
+ Stock options
More information about location
1-5 days a week in office
Platform for AI success
Job no longer available
Platform for AI success
1001+ employees
Job no longer available
$162-185k
+ Stock options
More information about location
1-5 days a week in office
1001+ employees
Company mission
To unite people, data, governance, and technology.
Role
Who you are
- 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
- 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
What the job involves
- 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
- 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)
Our take
Dataiku was founded on the principle that companies must use data to continuously innovate to succeed in a rapidly evolving ecosystem. As a centralized data platform, Dataiku guides businesses from analytics at scale to enterprise AI. It provides a common ground for data experts and explorers, offering best practices, shortcuts to AI deployment, and a controlled environment.
Customers like Unilever, GE, and Comcast use Dataiku to accelerate growth and innovation by removing roadblocks and enabling faster, smarter work. Despite substantial funding in 2023, Dataiku faced a 20% lower valuation than in 2021, indicating challenges even for successful tech firms. Nonetheless, Dataiku launched its Dataiku 11 platform in 2022, continuing to enhance its offerings.
In 2024, Dataiku announced a strategic alliance with Teragonia, a leading provider of AI solutions for private equity portfolio value creation. This collaboration leverages Dataiku's AI capabilities to enhance Teragonia's real-time analytics and strategic agility, aiming to accelerate revenue growth and profitability for clients. This partnership reflects Teragonia's trust in Dataiku's technology and underscores the platform's ability to democratise data and empower private equity firms to unlock significant value.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 8 rounds)
Dec 2022
$200m
SERIES F
Aug 2021
$400m
SERIES E
Total funding: $846.9m
Company HQ
125 West 25th Street, 7th Floor, New York, NY 10001, USA
Leadership
Clément Stenac
(Co-Founder & CTO)Previously worked at Exalead for 6 years, first as Software engineer for 3 years and then as Software Architect and Manager also for 3 years.
Florian Douetteau
(Co-Founder & CEO)Previously worked at Exalead for 11 years, holding various positions such as Director - Advanced Development, VP - Research and Technology and VP - Product Management.
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