What You'll Do
Are you the AI & Data Engineer who wants to join our team to develop innovative data pipelines and state-of-the-art AI solutions?
As an AI & Data Engineer at iO, you will be working at the intersection of data, software engineering and AI technology. Within this broad range of activities, you will be responsible for the end-to-end development of software, platforms, tools and pipelines to get data from A to B and transform it into valuable insights.
You will tackle various AI problems: from the smart deployment or fine-tuning of Large Language Models, agent and multi-agent setups, and the application of RAG patterns, to building ETL pipelines that feed a data platform. The recurring pattern is that you integrate existing cloud services and APIs into an efficient, scalable and reliable whole.
Prompt engineering is an art form for you, where you think creatively about how to get the best results, with an eye for preventing hallucinations or applying smart guardrails. You evaluate your solutions in a systematic way to gain insight into the quality of the output.
In your work, you will encounter all kinds of AI: from statistical models to Large Language Models, from Generative AI in the field of images, video and audio to Natural Language Processing. It is mainly about deploying and applying existing models and services, and creating the infrastructure around them.
You will work on a wide range of customer issues: from automatically analysing documents to recognising events in audio or video data, building agents and orchestration solutions, generating graphical output based on data, or creating or validating content. Wherever AI can be applied, you, as an engineer, will implement the total solution.
You will work together with the various AI experts within iO and with various technical teams at customer sites. Your solutions will be based on modern (cloud) platforms, SaaS services and languages such as TypeScript and Python.
What are your responsibilities as an AI & Data Engineer?
Devising AI and Data solutions: Analysing customer issues relating to AI and data and developing solutions, approaches and architecture.
Data Pipeline Development: Designing and building robust ETL/ELT processes and real-time data streams.
Data Platform Architecture: Setting up modern data warehouses, data lakes and analytics platforms.
AI Integration: Implementing machine learning pipelines and integrating AI services into data workflows.
Data Quality & Governance: Ensuring data quality, security and compliance within data ecosystems.
Performance Optimisation: Optimising data processing performance and scalability.
Cloud Data Services: Working with cloud-native data services such as AWS Glue, Azure Data Factory, or Google DataFlow.
Monitoring & Observability: Implementing monitoring and alerting for data pipelines and AI workloads.
Your Qualities And Skills As AI & Data Engineer
- You have a Bachelor's or Master's degree with a focus on software engineering.
- You have at least two years of professional experience in AI and data engineering, experience with various LLM architectures, and knowledge of the strengths and weaknesses of various AI solutions. You are familiar with the principles of modern data architectures, data modelling, and big data processing.
- You are proficient in modern data processing languages such as Python and SQL and have experience with frameworks such as Apache Spark, Pandas, or Dask. You are familiar with AWS or Azure cloud data platforms.
- You have a strong foundation in software engineering, with knowledge of CI/CD, unit testing, Git (flow) and secure development, error handling, asynchronous operations, and real-time data streams, among other things.
- You are adept at translating your ideas into technical architecture diagrams, data flow diagrams and documentation, but you also succeed in explaining your solutions to a less technical audience (customers and colleagues).
- You enjoy discussing your ideas and solutions with colleagues and working with them to achieve better results.
Whats in it for you
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32 vacation days
Based on a 40-hour work week, youll have 20 vacation days and 12 compensatory days of leave (reduction of working time).
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Mobility & end-of-year bonus
After working at iO for 6 months, you can count on an end-of-year bonus. And in terms of mobility, you can choose from various options, depending on your job or preference.
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Hospitalisation insurance
When something unfortunate happens, the last thing you need is the added stress of unexpected costs. Thats why all employees get hospitalisation insurance at Axa.
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Hybrid working
A good work-life balance is super important. Together with your team, youll decide when and where you work.
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Healthy snacks & lunch
At every iO campus, you can grab a healthy snack throughout the day and have a healthy and varied lunch for a small fee.
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Personal training budget
Each year, youll get a budget of 3,000 to develop yourself, in your profession or as a person, through training, events, or courses.
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Celebrating together
If theres something to celebrate, we know how to party! From time to time, the party team at your campus will organise the best (theme) parties.
