[Hiring] Developer, Applied AI @Bertelsmann-Jobs

Role 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
• Ensuring 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.

Qualifications

• 3+ years of professional software development experience, including strong hands-on experience with Python
• 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, including 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 automation
• Ability to troubleshoot production issues using logs, monitoring tools, and application diagnostics
• Working knowledge of SQL or experience working with enterprise data sources
• Strong communication skills and the ability to work directly with both technical and non-technical stakeholders

Requirements

• Experience with retrieval-augmented generation, vector search, embeddings, semantic chunking, or LLM-powered extraction workflows
• Experience with Microsoft Fabric, Fabric Data Agents, Model Context Protocol, FastMCP, or other AI/data gateway patterns
• Experience with Docker, Azure Container Apps, Terraform, Terragrunt, or other containerization and infrastructure tools
• Familiarity with OAuth, JWT, Microsoft Entra ID, managed identities, On-Behalf-Of token exchange, or other enterprise authentication patterns
• Experience with OpenTelemetry, Azure Monitor, Application Insights, Log Analytics, or similar observability tools
• Working knowledge of pandas, NumPy, BeautifulSoup, markdownify, pypdf, python-docx, openpyxl, or other data and document processing libraries
• Understanding of machine learning fundamentals, AI evaluation approaches, or common AI system design tradeoffs
• Familiarity with secure development practices, data privacy considerations, or responsible AI concepts
• Prior experience in publishing is a plus

Benefits

• Medical/Prescription drug insurance
• Dental
• Vision
• Health Care/Dependent Care Flexible Spending Account
• Health Savings Account
• Pre-Tax and Roth 401(k)
• Short and Long-Term Disability Insurance
• Life/AD&D Insurance
• Commuter Benefits
• Student Loan Repayment Program
• Educational Assistance
• Generous paid time off