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

Summary

Penguin Random House is seeking a Developer, Applied AI to join our Global Data Solutions team. The successful candidate will focus on building AI-enabled applications that enhance enterprise data processing and improve internal business operations.

Responsibilities

• Build, maintain, and enhance secure, reliable AI-enabled applications that improve how internal business teams access, process, and use enterprise data
• Support existing applications while also designing and building new solutions in response to evolving business needs
• Work directly with stakeholders to understand requirements, recommend practical technical approaches, develop and test applications, support deployments, and help ensure solutions are secure, maintainable, and production ready

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.
• 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
• Full-time employees are eligible for our comprehensive benefits program