Generative AI Engineer, Dataiku
$162-185k
+ Stock options
More information about location
1-5 days a week in office
Collaborative data science platform
Be an early applicant
Collaborative data science platform
1001+ employees
Be an early applicant
$162-185k
+ Stock options
More information about location
1-5 days a week in office
1001+ employees
Company mission
Dataiku enables data experts and domain experts to work together to build data into their daily operations, from advanced analytics to Generative AI.
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 centralised 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
Meet the team
Lyanna, Data Scientist
Insights
Company
Funding (last 2 of 8 rounds)
Dec 2022
$200m
SERIES F
Aug 2021
$400m
SERIES E
Total funding: $846.5m
Company benefits
- Our flexibility benefits include: ➔ Time off for R&R & Wedding time off ➔ Public holidays specific to your location ➔ For most teams, a hybrid work policy, which allows each Dataiker to spend as few as one and as many as five days a week in the office. ➔ A work from almost anywhere policy that allows employees to work from their place of choice up to four weeks per year.
- Family benefits: ➔ 12 weeks of paid parental leave within the first year of birth/adoption
- Building and supporting our community is at the heart of our values. We've developed our Ikigai.AI program (AI for good) to support the community and encourage our employees to give back to the causes they care about. We offer: ➔ Volunteering opportunities coordinated by our social responsibility team ➔ Additional paid time off to volunteer
- ➔ Technology stipend for WFH such as mobile, internet, and equipment reimbursement
- ➔ We regularly organise office happy hours in offices and virtual
Company values
- Diversity of People and Perspective - We mix people and perspectives to shape the future of data and AI in a responsible way
- Tolerance & Open-Mindedness - We embrace differences and new ideas and fight against racism and bias
- Accountable Camaraderie - We think, act, and celebrate as a team, trusting and supporting each other regardless of function
- Work-Life Balance - We respect each person’s way of finding balance, providing flexibility and counting progress, not hours
- Dedication To Learning - We geek out with new technologies, learn from others everyday, and grow ourselves by helping others grow
- Conscious Long-Term Responsibility - We strive to maximize our positive impact on the world - through our products and beyond, for today and tomorrow.
Company HQ
125 West 25th Street, 7th Floor, New York, NY 10001, USA
Articles
Leadership
Clément Stenac
(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
(CEO)Previously worked at Exalead for 11 years, holding various positions such as Director - Advanced Development, VP - Research and Technology and VP - Product Management.
Salary benchmarks
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Diversity, Equity & Inclusion at Dataiku
- Building AI that benefits everyone starts with diversity and inclusion in the office. We believe that a blend of experiences and perspectives creates the best performing teams and enables us to build software shaping the future of data & AI in a way which is fair and diverse, for people and the planet.
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