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- Tasks: Design AI tools for authors and enhance workflows in a creative environment.
- Company: Join Reedsy, a vibrant marketplace empowering 5 million authors with top publishing professionals.
- Benefits: Enjoy remote work, paid parental leave, and an annual team retreat.
- Why this job: Be part of a mission to support storytelling and creativity through innovative AI solutions.
- Qualifications: Experience in AI/ML integration, large language models, and cloud platforms is essential.
- Other info: Fluency in multiple languages and a sense of humour are welcomed!
The predicted salary is between 42000 - 72000 £ per year.
About Reedsy
We’re here to give authors the tools and resources they need to create beautiful books. Our marketplace gathers the industry\’s best publishing professionals — the likes of Neil Gaiman\’s editor, Nora Roberts\’ book marketer, and GRRM’s cover designer.
We’ve grown to a community of 5,000,000 authors, and transformed the way people write and publish their book. Want to hop board and help us get to our next destination? Cool, keep reading!
Responsibilities
At Reedsy, our goal is to build the best ecosystem for writers, supporting them at every stage of their creative journey. Over the years, we\’ve developed a suite of products, including a marketplace, book discovery platform, writing app, central authentication system, and email marketing tools.
As a publishing startup, we\’re thoughtful about how we integrate AI. As an AI Engineer, you\’ll help us empower authors to do more — enhancing creativity, not replacing it. You’ll focus on building intelligent features that support storytelling and streamline workflows.
In this role, you will:
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Design and implement AI-powered tools for authors (e.g. a narrative co-pilot, visual storyboarding assistant, etc.);
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Improve internal workflows by automating repetitive tasks and enhancing UX across our products;
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Build internal tools for AI development, including evaluation benchmarks and automated testing;
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Collaborate closely with engineers and operations teams to identify high-impact AI opportunities.
Requirements
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Proven experience integrating AI/ML into real-world products, with ownership of the full lifecycle — from modeling and evaluation to deployment and go-to-market execution.
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Experience working with large language models (e.g., prompt engineering, fine-tuning, model selection, retrieval-augmented generation)
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Familiarity with orchestration tools (e.g., LangChain, LlamaIndex, or custom chaining frameworks)
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Knowledge of hallucination detection and mitigation strategies
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Hands-on experience with cloud platforms (preferably Google Cloud Platform) and scalable AI deployment
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Familiarity with embeddings, vector databases, and Elasticsearch
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Experience with AI developer tooling (e.g., Cursor, intelligent CI/CD, AI-powered QA)
Bonus Points
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Fluent in multiple languages. Reedsy welcomes applicants of all cultures and backgrounds.
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A good dose of ambition, a willingness to learn, and a great sense of humor
Benefits
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Work from home
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Paid paternal and maternal leave
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Annual team retreat
Salary range:
70k-120k EUR – 0-0.2% equity
#J-18808-Ljbffr
AI Engineer - Remote Europe employer: Reedsy
Contact Detail:
Reedsy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer - Remote Europe
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially those relevant to the publishing industry. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your experience with large language models by preparing examples of past projects where you've successfully integrated AI/ML into real-world applications. Be ready to discuss the challenges you faced and how you overcame them.
✨Tip Number 3
Network with professionals in the AI and publishing sectors. Attend relevant webinars or meetups to connect with others who share your interests. This can lead to valuable insights and potential referrals for the position.
✨Tip Number 4
Prepare to discuss your familiarity with orchestration tools and cloud platforms during the interview. Having a solid understanding of these technologies will demonstrate your readiness to contribute effectively from day one.
We think you need these skills to ace AI Engineer - Remote Europe
Some tips for your application 🫡
Understand the Company: Before applying, take some time to understand Reedsy's mission and values. Familiarise yourself with their products and how they support authors. This knowledge will help you tailor your application to align with their goals.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with AI/ML integration in real-world products. Be specific about your role in the full lifecycle of projects, including modelling, evaluation, and deployment.
Showcase Technical Skills: Make sure to detail your technical skills related to large language models, orchestration tools, and cloud platforms. Mention any hands-on experience you have with tools like LangChain or Google Cloud Platform, as these are crucial for the role.
Craft a Compelling Cover Letter: Use your cover letter to express your passion for empowering authors through technology. Share your vision on how AI can enhance creativity and storytelling, and why you want to be part of Reedsy’s journey.
How to prepare for a job interview at Reedsy
✨Showcase Your AI Experience
Be prepared to discuss your previous projects involving AI and machine learning. Highlight specific examples where you integrated AI into real-world products, detailing your role in the entire lifecycle from modelling to deployment.
✨Demonstrate Technical Knowledge
Familiarise yourself with large language models and orchestration tools like LangChain or LlamaIndex. Be ready to explain how you've used these technologies in past roles, especially in relation to enhancing user experience and automating workflows.
✨Prepare for Problem-Solving Questions
Expect questions that assess your ability to tackle challenges related to AI, such as hallucination detection and mitigation strategies. Think of scenarios where you've successfully solved similar problems and be ready to share your thought process.
✨Emphasise Collaboration Skills
Since the role involves working closely with engineers and operations teams, be sure to highlight your teamwork experiences. Share examples of how you've collaborated on projects to identify and implement high-impact AI opportunities.