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

Bertelsmann-Jobs•New York, NY

7d•$130,000 - $160,000•Remote

About The Position

Penguin Random House is seeking a Developer, Applied AI to join their Global Data Solutions team. This role focuses on building, maintaining, and enhancing secure, reliable AI-enabled applications to improve how internal business teams access, process, and use enterprise data. The position is 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 utilizing large language models, Azure AI services, retrieval-based workflows, and APIs to solve business problems and enhance internal processes. This is a production development role focused on applying AI and cloud technologies in useful, reliable, and business-focused ways. The ideal candidate is practical, curious, enjoys learning new technologies, and can apply them to business problems, stepping into existing systems to improve them or building new applications from the ground up.

Requirements

3+ years of professional software development experience.
Strong hands-on experience with Python.
Practical 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 (e.g., 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.

Nice To Haves

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.