AI & Data Engineer

iO; Gent; Hybride; EUR 70 000 - 110 000; Plein temps

Avantages offerts par ce poste

32 vacation days

Mobility & end-of-year bonus

Hospitalisation insurance

Hybrid working

Healthy snacks & lunch

Personal training budget

Celebrating together

Résumé du poste

iO is seeking an AI & Data Engineer to design and build production-grade data pipelines and AI solutions within client ecosystems.

You’ll work across a range of AI challenges, from LLMs to RAG patterns, and integrate existing cloud services into scalable data platforms. Collaborative, with a strong emphasis on robust engineering and guardrails.

Qualifications

• Bachelor’s or Master’s degree in software engineering.
• Several years of software engineering experience with data- and/or AI-driven systems in enterprise environments.
• Experience with different LLM architectures and understanding strengths/weaknesses of AI solutions.
• Familiar with modern data architectures, data modeling, and big data processing.
• Proficient in Python and SQL; experience with Spark, Pandas, or Dask.
• Familiar with AWS or Azure cloud data platforms.
• Strong software engineering foundation including CI/CD, unit testing, Git, secure development, and real-time data streams.
• Ability to translate ideas into architecture diagrams, data flow schemas, and documentation; able to explain to non-technical stakeholders.
• Enjoy collaborating with colleagues to achieve better results.

Responsabilités

• Design AI & Data solutions: analyze client challenges and define architecture.
• Software engineering & integration: build APIs and services for AI solutions.
• Data Pipeline Development: design and implement ETL/ELT and real-time streams.
• Data Platform Architecture: set up data warehouses, lakes, and analytics platforms.
• AI Integration: build ML pipelines and integrate AI services into data workflows.
• Data Quality & Governance: ensure data quality, security, and compliance.
• Performance Optimization: improve processing performance and scalability.
• Cloud Data Services: work with AWS Glue, Azure Data Factory, or Google Dataflow.
• Monitoring & Observability: implement monitoring for pipelines and AI workloads.

Connaissances

Software engineering

LLM architectures

Data architectures & modeling

Python

SQL

Big data processing

CI/CD

Git & secure development

Real-time data streams

Communication to stakeholders

Formation

Bachelor’s or Master’s in software engineering

Outils

Apache Spark

Pandas

Dask

AWS

Azure

Description du poste

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 are first and foremost an experienced software engineer who builds, integrates, and operationalizes AI and data solutions within clients’ existing IT ecosystems.

You will work on a wide variety of AI challenges: from intelligently leveraging or fine-tuning Large Language Models, agent and multi-agent setups, and applying RAG patterns, to building ETL pipelines that feed a data platform. A recurring pattern in your work is integrating existing cloud services and APIs into an efficient, scalable, and reliable solution. The focus lies on building production-grade systems that function correctly within complex, often enterprise-level IT landscapes.

Prompt engineering is an art form to you. You think creatively about how to achieve the best results, while paying attention to preventing hallucinations and implementing smart guardrails. You evaluate your solutions systematically to gain insight into output quality.

In your work, you will encounter many forms of AI: from statistical models to Large Language Models, from Generative AI in the domains of image, video, and audio to Natural Language Processing. The emphasis is mainly on applying and integrating existing models and services, and building the infrastructure around them.

You will work on a wide range of client challenges: from automatically analyzing documents to detecting events in audio or video data, building agents and orchestration solutions, generating graphical output based on data, or creating and validating content. Wherever AI can add value, you design and implement the complete solution as an engineer.

You collaborate with various AI experts within iO and with technical teams on the client side. Your solutions are based on modern (cloud) platforms, SaaS services, and programming languages such as TypeScript and Python.

What Are Your Responsibilities as an AI & Data Engineer?

• Designing AI & Data solutions: Analyze client challenges related to AI and data and define solutions, approaches, and architecture
• Software engineering & integration: Develop backend components, APIs, and services to ensure AI solutions integrate seamlessly with existing applications and platforms
• Data Pipeline Development: Design and build robust ETL/ELT processes and real-time data streams
• Data Platform Architecture: Set up modern data warehouses, data lakes, and analytics platforms
• AI Integration: Implement machine learning pipelines and integrate AI services into data workflows
• Data Quality & Governance: Ensure data quality, security, and compliance within data ecosystems
• Performance Optimization: Optimize data processing performance and scalability
• Cloud Data Services: Work with cloud-native data services such as AWS Glue, Azure Data Factory, or Google Dataflow
• Monitoring & Observability: Implement monitoring and alerting for data pipelines and AI workloads

Your Qualities And Skills As AI & Data Engineer

• You hold a Bachelor’s or Master’s degree with a focus on software engineering
• You have several years of experience as a software engineer and have worked on data- and/or AI-driven systems in a professional, preferably enterprise, environment
• You have experience with different LLM architectures and understand the strengths and weaknesses of various AI solutions
• You are familiar with the principles of modern data architectures, data modeling, 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, including knowledge of CI/CD, unit testing, Git (flow), secure development, error handling, asynchronous operations, and real-time data streams
• You are able to translate your ideas into technical architecture diagrams, data flow schemas, and documentation, while also clearly explaining your solutions to less technical stakeholders (clients and colleagues)
• You enjoy sparring with colleagues about ideas and solutions and working collaboratively to achieve better results

What’s in it for you

• 32 vacation days. Based on a 40-hour work week, you’ll have 20 vacation days and 12 compensatory days of leave (reduction of working time).
• 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.
• Hospitalisation insurance. When something unfortunate happens, the last thing you need is the added stress of unexpected costs. That’s why all employees get hospitalisation insurance at Axa.
• Hybrid working. A good work-life balance is super important. Together with your team, you’ll decide when and where you work.
• 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.
• Personal training budget. Each year, you’ll get a budget of €3,000 to develop yourself, in your profession or as a person, through training, events, or courses.
• Celebrating together. If there’s something to celebrate, we know how to party! From time to time, the party team at your campus will organise the best (theme) parties.