Generative AI Engineer
Germany, Remote
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Dataiku
Dataiku is the world’s leading platform for Everyday AI, systemizing the use of data for exceptional business results.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.
Key Responsibilities
- Solution Development & Integration
- 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.
- Agent & Agent Tool Creation
- 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.
- Web Application Development
- 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.
- Collaboration & Governance
- 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.
- Continuous Learning & Thought Leadership
- 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).
Qualifications
- Technical Proficiency
- 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.
- Educational & Professional Background
- 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.
- Soft Skills
- 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.
Why Join Our Team?
- Work with Cutting-Edge Tech: You’ll gain hands-on experience with Dataiku’s platform, LangChain, and leading LLM providers.
- Impact & Visibility: Our GenAI solutions address critical business needs, offering high visibility and meaningful impact.
- Collaborative Environment: We prioritize teamwork, mentorship, and continuous learning—perfect for both experienced engineers and those just starting out.
- Career Growth: From contributing to technical roadmaps to presenting results to stakeholders, you’ll have countless opportunities to develop your skills and influence the company’s AI strategy.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AI strategy Anthropic APIs AWS Azure Computer Science Data governance Data pipelines Engineering Generative AI JavaScript LangChain LLMs Machine Learning NLP OpenAI Pipelines Prompt engineering Python Security SQL UX
Perks/benefits: Career development Startup environment
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