Developer, Applied AI, Penguin Random House (Open to Remote) Job Details | Apply now!

Summary

Penguin Random House is a leading adult and children's publishing house committed to quality, innovation, and excellence throughout the publishing process. The Developer, Applied AI will build, maintain, and enhance secure AI-enabled applications using Python, Azure cloud services, enterprise data integration, document processing, and large language models. The role also involves collaborating with stakeholders, developing and testing applications, supporting deployments, and ensuring solutions are secure, maintainable, and production ready.

Responsibilities

• Build, maintain, and enhance secure, reliable AI-enabled applications that improve how internal business teams access, process, and use enterprise data
• 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
• Support existing applications while also designing and building new solutions in response to evolving business needs
• Work 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
• Develop useful AI-enabled applications in a production environment and contribute to the future of applied AI at Penguin Random House

Skills

• 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. 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 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
• 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

Qualifications

Must Haves

• 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. 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 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

Benefits

• All positions are currently eligible for annual profit award or bonus, subject to Company results.
• Full-time employees are eligible for our comprehensive benefits program.
• Medical/Prescription drug insurance
• Dental insurance
• Vision insurance
• 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