Summary
Penguin Random House is a leading publishing house committed to quality, innovation, and digital transformation. The Junior AI Engineer will build practical AI tools, automations, applications, and language-model workflows that improve internal business processes. The role also involves developing Python-based services, collaborating with cross-functional teams, and evaluating AI system performance and adoption.
Responsibilities
- Build tools, automations, and applications that support internal business needs across marketing, research, and workflow optimization
- Design, test, and improve language model based workflows for tasks such as classification, summarization, extraction, generation, and search support
- Partner with teams across Marketing, Product, Data Science, and the broader business to translate needs into clear, scalable solutions
- Develop Python-based services, APIs, and internal tools that integrate AI capabilities into day-to-day workflows
- Evaluate and refine system performance for quality, speed, reliability, and cost
- Identify edge cases, improve system behavior, and contribute to best practices for applied AI development
- Stay current on the rapidly evolving AI landscape and help evaluate which tools and approaches are worth adopting
Skills
- Must have prior internship experience in software engineering, with hands-on experience building LLM-based or applied AI workflows
- Strong Python skills and a practical approach to building useful, reliable, and responsible solutions
- Familiarity with agentic coding tools like Claude Code, OpenAI Codex, Cursor, etc
- Ability to understand stakeholder needs and translate them into effective solutions
- Comfort working across a range of projects and solving ambiguous problems
- Strong communication skills and the ability to collaborate effectively with both technical and non-technical partners
- Familiarity with agentic frameworks like LangGraph/LangChain, Google ADK, OpenAI Agent SDK, etc
- Familiarity with evaluation techniques and frameworks like MLFlow, Arize, LangSmith, etc
- Familiarity with front-end prototyping
Qualifications
Must Haves
- Must have prior internship experience in software engineering, with hands-on experience building LLM-based or applied AI workflows
- Strong Python skills and a practical approach to building useful, reliable, and responsible solutions
- Familiarity with agentic coding tools like Claude Code, OpenAI Codex, Cursor, etc
- Ability to understand stakeholder needs and translate them into effective solutions
- Comfort working across a range of projects and solving ambiguous problems
- Strong communication skills and the ability to collaborate effectively with both technical and non-technical partners
Nice to Haves
- Familiarity with agentic frameworks like LangGraph/LangChain, Google ADK, OpenAI Agent SDK, etc
- Familiarity with evaluation techniques and frameworks like MLFlow, Arize, LangSmith, etc
- Familiarity with front-end prototyping
Benefits
- All positions are currently eligible for an annual profit award or bonus, subject to company results.
- Full-time employees are eligible for our comprehensive benefits program, including 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, and generous paid time off.
- Open to remote.