Developer, Applied AI, Penguin Random House (Open to Remote)

Penguin Random House LLC New York, 1745 Broadway, United States hybrid USD 130,000 - 160,000 (Yearly) Company Description Penguin Random House is the leading adult and children's publishing house in North America, the United Kingdom and many other regions around the world. In publishing the best books in every genre and subject for all ages, we are committed to quality, excellence in execution, and innovation throughout the entire publishing process: editorial, design, marketing, publicity, sales, production, and distribution. Our vibrant and diverse international community of nearly 300 publishing brands and imprints include Ballantine Bantam Dell, Berkley, Clarkson Potter, Crown, DK, Doubleday, Dutton, Grosset & Dunlap, Little Golden Books, Knopf, Modern Library, Pantheon, Penguin Books, Penguin Press, Penguin Random House Audio, Penguin Young Readers, Portfolio, Puffin, Putnam, Random House, Random House Children's Books, Riverhead, Ten Speed Press, Viking, and Vintage, among others. More information can be found at http://www.penguinrandomhouse.com/. Penguin Random House values the array of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status. Job Description Penguin Random House is seeking a Developer, Applied AI to join our Global Data Solutions team. We are looking for a hands-on developer who can help build, maintain, and enhance secure, reliable AI-enabled applications that improve how internal business teams access, process, and use enterprise data. This role sits at the intersection of Python backend engineering, Azure cloud services, enterprise data integration, document processing, and practical AI implementation. The successful candidate will work on applications that use large language models, Azure AI services, retrieval-based workflows, and APIs to solve real business problems and improve internal processes. As a key member of our team, the Developer will help support existing applications while also designing and building new solutions in response to evolving business needs. This includes working directly with stakeholders to understand requirements, recommending practical technical approaches, developing and testing applications, supporting deployments, and helping ensure solutions are secure, maintainable, and production ready. This is a production development role focused on applying AI and cloud technologies in useful, reliable, and business-focused ways. We do not expect candidates to have used every tool listed below; we are looking for strong Python engineering skills, practical AI experience, sound technical judgment, and the ability to learn new technologies quickly. We are eager to welcome a practical, curious developer who enjoys learning new technologies and applying them to business problems. The ideal candidate can step into existing systems and improve them but is also comfortable building new applications from the ground up. If you are excited about developing useful AI-enabled applications in a production environment and contributing to the future of applied AI at Penguin Random House, we would love to hear from you. Applications for this role will be accepted through August 11, 2026, or until the role is filled. We encourage you to apply early, as we review applications on a rolling basis. For this position a complete application should include your resume and cover letter, as both are required for consideration. Before applying for any role at Penguin Random House, we recommend you review our applicant resources page and our FAQs page. Qualifications Required Experience: • 3+ years of professional software development experience, including strong hands-on experience with Python. Candidates should also have practical experience in the following areas: • Experience building, maintaining, or supporting production applications in a cloud environment, preferably Microsoft Azure • Experience developing REST APIs and backend services using frameworks such as FastAPI, Flask, or similar • Practical experience integrating generative AI or large language model capabilities into applications • Familiarity with one or more practical AI application patterns, such as prompt design, structured outputs, retrieval workflows, document processing, or orchestration • Experience using relevant Azure services in a production environment. This may include Azure Functions, Durable Functions, Azure OpenAI, Azure AI Search, Azure Document Intelligence, Blob Storage, Container Apps, Key Vault, Application Insights, or comparable services • Familiarity with AI frameworks such as LangChain and structured-output tools such as Pydantic, JSON Schema, or similar • Experience with Git-based development workflows, pull requests, code reviews, CI/CD pipelines, and deployment