At a Glance
- Tasks: Design and build AI features for enterprise software used globally.
- Company: Established enterprise software company with a focus on AI innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on cutting-edge AI technologies.
- Why this job: Join a team solving real-world AI challenges and make a significant impact.
- Qualifications: Hands-on experience in AI engineering and strong programming skills.
The predicted salary is between 60000 - 80000 € per year.
We're supporting a well-established enterprise software company building out a dedicated AI engineering capability focused on delivering intelligent features into live enterprise products used by global customers.
This role sits directly within product engineering teams and focuses on designing and shipping production-grade AI capabilities - not AI proofs of concept. You'll work closely with engineering, architecture, and platform AI teams to build scalable AI-powered functionality into complex enterprise software products.
Key areas include:
- LLM integration
- RAG pipelines
- Predictive analytics
- Evaluation frameworks
- MCP/tool-calling interfaces
- AI-driven risk and impact analysis
What you'll be doing:
- Building AI-powered product features and intelligent analysers
- Developing RAG workflows and enterprise AI integration patterns
- Building MCP servers and AI integration interfaces
- Designing evaluation and quality processes for AI outputs
- Working on predictive models and anomaly/risk detection
- Collaborating closely with engineering and architecture teams to productionise AI capabilities
What they're looking for:
- Strong hands-on AI engineering experience in production systems
- Experience embedding AI/ML capabilities into enterprise software products
- Practical understanding of LLMs, RAG patterns, embeddings, and prompt engineering
- Strong engineering background in Python and/or TypeScript/JavaScript
- Experience with APIs, MLOps, integration layers, and AI service interfaces
- Experience with evaluation frameworks and measuring AI output quality
- Understanding of predictive analytics or anomaly detection on structured operational data
Nice to have:
- Graph-based analysis or dependency mapping experience
- Experience building AI capabilities for governance/compliance workflows
- SAP ecosystem exposure
The ideal background is likely someone currently working within:
- SaaS product engineering
- AI product companies
- Enterprise software vendors
- AI platform teams
- Companies building production-grade GenAI capabilities
This is a strong opportunity for engineers who enjoy solving practical enterprise AI problems at scale - particularly those with genuine experience beyond basic chatbot implementations.
AI Engineer - Enterprise AI Products - Hybrid - Permanent employer: IO Associates
Join a forward-thinking enterprise software company that prioritises innovation and collaboration, offering AI Engineers the chance to work on impactful projects that shape the future of intelligent enterprise solutions. With a hybrid work model, a supportive culture that fosters professional growth, and opportunities to engage with cutting-edge technologies, this role is perfect for those looking to make a meaningful contribution in a dynamic environment. Enjoy competitive benefits and a commitment to employee development in a location that encourages creativity and teamwork.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - Enterprise AI Products - Hybrid - Permanent
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs or predictive analytics. This gives you a chance to demonstrate your hands-on experience and makes you stand out from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and TypeScript/JavaScript skills. Be ready to discuss your experience with APIs and MLOps, as well as how you've tackled real-world AI challenges in production systems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Engineer - Enterprise AI Products - Hybrid - Permanent
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your hands-on AI engineering experience and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your work with LLMs, RAG pipelines, and predictive analytics.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background fits into our mission at StudySmarter. Be specific about your experience with enterprise software and how you can contribute to our team.
Showcase Your Technical Skills:When applying, make sure to mention your proficiency in Python, TypeScript, or JavaScript. We’re keen on seeing examples of how you’ve integrated AI capabilities into production systems, so include any relevant projects or achievements that demonstrate your expertise.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at IO Associates
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLMs, RAG pipelines, and predictive analytics. Be ready to discuss how you've integrated these technologies into enterprise software in the past. Real-world examples will show that you can walk the talk!
✨Showcase Your Engineering Skills
Since a strong engineering background is key, prepare to talk about your experience with Python, TypeScript, or JavaScript. Bring along specific projects where you’ve built scalable AI features, and be ready to dive into the technical details.
✨Collaboration is Key
This role involves working closely with various teams, so highlight your teamwork skills. Think of examples where you collaborated with engineering or architecture teams to productionise AI capabilities. Show them you’re a team player who can communicate effectively!
✨Prepare for Practical Problem-Solving
Expect questions that test your ability to solve real-world AI problems. Prepare scenarios where you’ve tackled challenges like anomaly detection or risk analysis. This will demonstrate your hands-on experience and problem-solving mindset, which is exactly what they’re looking for!
