Junior AI Engineer (Open to remote)

Bertelsmann-Jobs•New York, NY

1d•$110,000 - $135,000•Remote

About The Position

Penguin Random House’s Data Science team is hiring a Junior AI Engineer to help unlock the potential of AI and emerging technology through practical tools that improve how teams work. As the world’s leading publishing house, Penguin Random House remains at the forefront of digital transformation, using cutting-edge AI and machine learning techniques to shape the future of book discovery, sales, and customer engagement. With a commitment to quality and innovation, we leverage data science to enhance our capabilities across marketing, pricing, forecasting, personalization, and more. If you love turning innovation into useful, responsible solutions, and have strong Python skills, product sense, and sound judgment, we’d love to hear from you.

Requirements

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

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.