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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Solutions Engineer, Data Science, Penguin Random House (Open to Remote) - **Company:** NORDDEICH TV Produktions-GmbH - **Location:** New York, Germany (Remote available) - **Experience:** Expert - **Salary:** €180,000.0 - €220,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Python (Programming Language), Machine Learning, Operational Data Store, Azure Machine Learning, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Information Technology, Software Version Control, Databricks - **Published:** September 19, 2026 - **Apply:** https://jobsearch.createyourowncareer.com/talentcommunity/apply/1439154733/?locale=en_US ## About the Role * 3+ years building and shipping production-quality software, including hands-on work with machine learning or AI systems that include the following preferred qualifications: + Experience standing up MCP servers or comparable tool-integration layers for AI assistants + 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 such as 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 and a demonstrated ability to teach and level up teammates. ## Description * Design, build, and operate LLM-powered applications and services (e.g. agentic workflows, retrieval/RAG systems, classification pipelines) over our catalog, sales, and operational data * Stand up and maintain MCP servers and tool integrations that connect AI models and assistants to our internal data and systems safely and reliably * Own services end-to-end: architecture, implementation, deployment, evaluation, and monitoring in our AWS/Databricks environment * Evaluate emerging AI tooling and patterns (agent frameworks, MCP, evaluation harnesses, new model capabilities), run structured pilots, and lead adoption of what works * Raise the team's AI engineering capability: run working sessions and internal demos, pair program with scientists, and build internal tools to help accelerate AI usage across the team., Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG. The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. 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