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About the Role

Build the systems behind the next wave of AI work for improving operations, including agentic applications, LLM-powered services, and interfaces that connect AI models and assistants to internal data and tools. Work at the intersection of publishing and the modern AI stack, owning built systems through to production.

Responsibilities

Design, build, and operate LLM-powered applications and services over catalog, sales, and operational data.
Stand up and maintain MCP servers and tool integrations for AI models and assistants.
Own services end-to-end: architecture, implementation, deployment, evaluation, and monitoring in an AWS/Databricks environment.
Evaluate emerging AI tooling and patterns, run pilots, and lead adoption.
Raise the team's AI engineering capability through working sessions, demos, and internal tool development.

Requirements

3+ years building and shipping production-quality software.
Hands-on work with machine learning or AI systems.
Experience standing up MCP servers or comparable tool-integration layers.
Experience with cloud ML platforms (AWS, Databricks), model APIs (Bedrock, Anthropic, OpenAI), and vector databases.
Advanced degree (MS/PhD) in computer science, machine learning, or a related quantitative field.
Experience applying AI/ML to commercial problems like demand forecasting, pricing, sales and marketing optimization, recommendation, or search.
Background in media, publishing, or other content-rich domains.
Demonstrated fluency with the current LLM stack: retrieval-augmented generation, embeddings, prompt engineering, agentic patterns, and rigorous evaluation of generative systems.
Strong Python engineering skills with experience in version control, testing, and CI.
Self-motivated with strong communication skills.
Demonstrated ability to teach and level up teammates.

Skills

Machine learning
AI systems
MCP servers
Cloud ML platforms (AWS, Databricks)
Model APIs (Bedrock, Anthropic, OpenAI)
Vector databases
LLM stack
Retrieval-augmented generation
Embeddings
Prompt engineering
Agentic patterns
Generative systems evaluation
Python engineering
Version control
Testing
CI

Location

Remote

Work Type

Full-time

Experience Level

Senior

Education Level

MS/PhD

Salary/Compensations

$180,000 - $220,000

Benefits

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
Annual profit award or bonus

About the Company

Penguin Random House is the leading adult and children's publishing house globally, committed to quality, excellence, and innovation.
Our diverse international community includes nearly 300 publishing brands and imprints.
More information can be found at http://www.penguinrandomhouse.com/.

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status.
All your information will be kept confidential according to EEO guidelines.