Generative AI Engineer

As a Generative AI Engineer at Dataiku, your key responsibilities will include designing end-to-end Generative AI solutions on our platform, integrating third-party LLM APIs, and building robust data pipelines. You will also be responsible for developing autonomous AI agents, creating user-friendly front-end applications, and collaborating closely with analytics and data engineering teams. Your role will have a direct impact on optimizing processes and delivering innovative AI-driven solutions.

To apply for the Generative AI Engineer position at Dataiku, you should have strong Python skills and experience with data science libraries. A Bachelor's or Master's degree in Computer Science or a related field is preferred. Familiarity with web development technologies like HTML, CSS, and JavaScript is necessary, along with exposure to third-party LLMs. Excellent communication skills and a problem-solving mindset are essential to successfully collaborate with both technical and non-technical stakeholders.

At Dataiku, we provide a robust platform and set of tools that empower you to develop Generative AI applications efficiently. You'll have access to cutting-edge large language models and frameworks like LangChain to optimize workflows. Our collaborative culture also encourages you to work closely with other talented individuals, helping you stay current with industry trends and enhance your skills in AI application development.

The work culture at Dataiku is highly collaborative and innovation-focused. As a Generative AI Engineer, you will be part of a dynamic team that values diverse perspectives and encourages open communication. We believe in creating an environment where everyone is treated with dignity and respect, fostering both personal and professional growth. You'll work alongside passionate professionals dedicated to shaping the future of AI.

Dataiku offers a comprehensive benefits package for its Generative AI Engineers, including stock options, flexible spending accounts, and competitive medical, dental, and vision plans. In addition to paid vacation and parental leave, we provide a 401k company match and various health and wellbeing perks. We continually strive to enhance our employee benefits to support the well-being and professional growth of our team.

When answering this question, highlight specific projects where you've utilized large language models, detailing the technologies you used and the challenges you faced. Discuss your approach to prompt engineering and API integration, showcasing how you've optimized model performance for practical applications.

To effectively respond to this, emphasize your knowledge of data governance practices and regulatory compliance requirements. Explain the strategies you implement to protect sensitive data and ensure that your AI solutions adhere to necessary guidelines, such as encryption, access controls, and regular audits.

In response, highlight your proficiency in Python, SQL, and any other relevant languages you are familiar with. Discuss how you have applied these programming skills in previous projects, emphasizing your ability to work within frameworks like Dataiku and build effective AI solutions.

Describe your process for designing front-end interfaces, focusing on user experience (UX) and usability. Discuss any specific tools or frameworks you've used and your collaborative approach with designers to ensure the application is intuitive for users.

Focus on explaining your approach to building efficient and secure data pipelines. Discuss your experience with data validation, transformation, and integration, highlighting any tools, frameworks, or practices that enhance performance and ensure data integrity.

Use this opportunity to describe a specific project or initiative where you applied AI techniques to address a business challenge. Outline your methodology, the results achieved, and how your contributions added measurable value to the organization.

Emphasize your commitment to continuous learning and staying informed about industry trends. Mention any resources you regularly consult, such as publications, online courses, or conferences, highlighting how you incorporate new knowledge into your work.

Discuss the tools and frameworks you have experience with, such as Dataiku, LangChain, or third-party LLM APIs. Highlight your ability to quickly learn and adapt to new technologies, ensuring you're well-equipped to innovate and deliver AI solutions.

Talk about your approach to soliciting feedback from stakeholders during the development process. Describe how you incorporate feedback into iterations and ensure that the final product aligns closely with user needs and business objectives.

Explain your systematic approach to troubleshooting, including analyzing logs, identifying bottlenecks, and testing various components of the application. Illustrate your problem-solving mindset and your ability to communicate effectively with team members during critical issues.