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AI Engineer (m/f/d)

80% of all employees worldwide do not work at a desk.

With Ordio 💙 we offer an “all-in-one” software solution that focuses on these employees & helps to organise their daily work and make it more efficient for everyone involved.

We are at a super exciting stage building out a new team who will implement state-of-the-art, AI functionality/features into the user experience of Ordio. This mission-critical team will shape Ordio’s future success, so if you are passionate about developing scalable and efficient AI/ML solutions, particularly working with LLMs in the context of agents and copilots, this is the perfect role for you 🚀.

What you’ll do as an AI Engineer:

♺ Bring AI solutions to our existing Web App, shipping full-stack AI projects end to end using pre-trained models.

⚙️ Build and integrate components for Ordio’s AI infrastructure, supporting production-level inference and fine-tuning

💪 Write clean, efficient, and maintainable code for AI-driven applications, APIs, and user interfaces using best practices

💻  Design and implement internal and external MCP Server, enabling interaction with services through chat-based user input.

🧠 Deploy AI solutions to the Cloud via Terraform, leveraging cloud-native services for compute, storage, networking, and AI-specific offerings

💡 Work closely with Product Managers, Lead Developers, UX/UI Designers, and other team members to integrate AI components seamlessly into the overall solution

💭 Develop and execute unit, integration, and system tests to ensure the reliability and robustness of AI solutions.

What we are looking for:

💻 Strong software engineering background, with experience in AI/ML frameworks like TensorFlow, PyTorch, and their application in generative models.

🧑‍💻 Proven experience integrating AI/ML models into real-world applications, particularly those involving production use cases of LLMs

👾 Deep understanding of models, their context windows, model behavior as well as strong practical experience implementing and optimizing RAG systems

🔎 Hands-on experience with cloud infrastructure and deployment tools, particularly Terraform, and deploying services on platforms like AWS, GCP, or Azure.

🏎️ Proficiency in unit, integration, and system testing, with a focus on ensuring robustness, reliability, and performance of AI-powered systems.

💪 Comfortable working in cross-functional teams, collaborating with Product Managers, Designers, and Lead Engineers to build cohesive, user-centered solutions.

🚀 Bonus: Experience building and maintaining MCP (Message Control Protocol) or similar internal/external server infrastructures is a strong plus.

Benefits

💰 Competitive compensation and benefits (e.g. equity, flexible time off, generous parental leave)

🏋️‍♀️ Enjoy true ownership of your development in an early-stage environment - accelerating Ordio’s global expansion while charting your own professional path from day one

🚀 Thrive in an open, innovative culture where autonomous teams tackle ambitious projects and drive meaningful impact

📱 State-of-the art technical equipment & tooling (MacBook Pro with M4 at minimum)

🏝️ Enjoy full flexibility - remote work, home office options, and flexible hours

💪 Prioritize both physical and mental well-being with subsidized gym memberships and regular wellness-focused initiatives

🌎 A clear set of company values that guide everything we do: Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future

About Ordio

We at Ordio 💙 are looking for people who want to be more than just another employee: ambitious, forward thinking, ready to shape our industry. 🚀.

We believe that by giving people the best tools to solve their own problems, we can better solve the world's problems together. We are always looking for talented people who are interested in shaping the future together - shape it with us 💙

Does this sound like an exciting challenge for you?

Then drop us a line.

We look forward to hearing from you! 😌

What You Should Know About AI Engineer (m/f/d), Ordio GmbH

Join Ordio as an AI Engineer (m/f/d) and be part of a transformative journey! At Ordio, we believe that the majority of employees who don’t work at a desk deserve cutting-edge support to make their day-to-day tasks more efficient. As we build our exciting new team, you’ll be charged with adding innovative AI functionalities and features to our application, shaping the future of user experience in a very impactful way. In this pivotal role, you'll get to bring your passion for machine learning to life by developing scalable solutions, particularly focusing on implementing large language models (LLMs) into our platform. You will work on full-stack AI projects, integrating AI infrastructure components to support robust applications. Collaborating closely with Product Managers, UX/UI Designers, and Lead Developers, you will ensure seamless integration of AI into Ordio's user-centric solutions. With a competitive salary and benefits like flexible work arrangements, subsidized wellness programs, and a part in our ambitious culture where your contributions truly matter, this role is perfect for those who thrive in collaborative environments. If you are excited about deploying AI solutions in the cloud and enhancing our systems, we can't wait to meet you. Help us empower non-desk employees with the best tools to drive solutions in their work environments and make a real-world impact!

Frequently Asked Questions (FAQs) for AI Engineer (m/f/d) Role at Ordio GmbH
What are the key responsibilities of the AI Engineer position at Ordio?

As an AI Engineer (m/f/d) at Ordio, you will lead end-to-end AI projects, integrating components for our AI infrastructure, and designing internal servers for chat-based interactions. Your efforts will enhance our existing web application and ensure production-level AI solutions are robust and efficient.

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What qualifications are required for the AI Engineer role at Ordio?

Candidates for the AI Engineer position at Ordio should have a strong software engineering background with experience in AI/ML frameworks like TensorFlow and PyTorch, as well as practical knowledge in deploying AI solutions on cloud platforms such as AWS, GCP, or Azure, with a focus on real-world applications.

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How does Ordio support the professional development of its AI Engineers?

At Ordio, we prioritize your growth by offering a culture of innovation and ownership where you can take charge of your projects. You’ll work in a collaborative environment, benefiting from state-of-the-art tools and gaining experience that propels your career forward.

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What kind of team culture can AI Engineers expect at Ordio?

AI Engineers at Ordio are embraced by an open and innovative culture. You will be part of autonomous teams that tackle ambitious projects, allowing you to drive impactful solutions while collaborating closely with cross-functional teams to shape the user experience.

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What benefits does Ordio offer to its AI Engineers?

Ordio provides competitive compensation packages that include benefits like equity, flexible work hours, and wellness programs. Our engineers enjoy state-of-the-art technical equipment, remote work options, and an emphasis on both physical and mental well-being.

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Common Interview Questions for AI Engineer (m/f/d)
Can you describe your experience with AI/ML frameworks relevant to the AI Engineer role?

When answering this question, highlight specific projects where you've used frameworks like TensorFlow or PyTorch. Discuss the context and challenges, and showcase your understanding of how these tools contribute to developing AI solutions.

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How have you integrated AI models into real-world applications?

Share specific examples where you took an AI model from development to deployment. Discuss the challenges encountered and how your contributions resulted in enhanced performance or efficiency in the application.

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What do you know about cloud infrastructure and deployment tools?

Discuss your hands-on experience with cloud platforms such as AWS or Azure, emphasizing how you've leveraged tools like Terraform for automated deployments, which is crucial for ensuring the scalability of AI solutions.

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How do you ensure that the AI solutions you implement are reliable and robust?

Talk about your approach to testing AI systems, detailing how you implement unit, integration, and system tests. Describe how you measure performance and make iterations based on test outcomes to enhance reliability.

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Can you give an example of working in a cross-functional team on an AI project?

Provide an example where you collaborated with team members from different disciplines. Focus on how effective communication and teamwork were key to the success of your AI project.

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What role do you think AI will play in enhancing user experience?

Discuss your vision for integrating AI technologies to create a seamless and intuitive user experience. Mention specific examples of features that could benefit users based on your knowledge of AI capabilities.

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How do you stay updated with the latest trends in AI technology?

Share your strategies for continuous learning, such as online courses, attending relevant conferences, or following industry leaders and publications to ensure you’re informed about advancements in AI and machine learning.

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What challenges have you faced while deploying AI solutions and how did you overcome them?

Discuss any specific challenges encountered during deployment such as data limitations or integration issues. Explain how you diagnosed the problem and the steps you took to successfully resolve the issue.

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Describe a situation where you had to meet a tight deadline on an AI project.

Provide a specific example that showcases your time management skills and ability to prioritize tasks. Explain how you maintained quality while working efficiently to meet the deadline.

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What techniques do you use for optimizing AI models?

Talk about methodologies you’ve employed for optimizing model performance, including data preprocessing, feature engineering, or leveraging transfer learning to enhance the effectiveness of your AI models.

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EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
April 16, 2025

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