AI Engineer

As an AI Engineer youll build (agentic) AI to power KPNs autonomous networkscreating intelligent agents that observe decide and act to optimize performance in real time. Collaborating with business stakeholders domain experts and engineering teams youll design and maintain scalable AI pipelines that bring these capabilities into production and shape the future of self-managing networks.

Key daily responsibilities:

• Build develop and maintain intelligent (agentic) AI systems that enable autonomous network optimization and decision-making.
• Build and maintain scalable AI/ML pipelines with a strong focus on reliability performance and maintainability.
• Define and implement monitoring testing and governance strategies to ensure robustness and compliance of agentic AI solutions in production.
• Collaborate with network domain experts data engineers and software teams to integrate agentic solutions into real-time network environments.
• Translate network objectives into data-driven self-adapting models using reinforcement learning and emerging Ai frameworks.
• Stay up to date on innovations in (agentic) AI reinforcement learning and telecom network automation.

Qualifications :

You are eager to learn and can adapt quickly both technically and personally. You have strong analytical skills and take ownership of your work. You enjoy working with both technical and non-technical colleagues and can make complex ideas easy to understand.

To be successful in this role you bring:

• A minimum of 2 years of professional experience in Artificial Intelligence Machine learning data engineering software enginering or a closely related technical discipline.
• A masters degree in a relevant technical field such as Artificial Intelligence Computer Science Econometrics Mathematics Engineers or a comparable area of study.
• proven experience of designing and delivering production-grade AI/ML solutions that translate complex algorithms into measurable business value.
• Well-versed in software engineering methodologies and best practices encompassing coding standards code reviews version control CI/CD pipelines automated testing and security protocols.
• Proficiency in Python and/or Java with hands-on experience using AI/ML libraries (e.g. TensorFlow PyTorch scikit-learn) and data-processing frameworks.
• Experience designing and implementing RESTful APIs and deploying microservices using Docker Kubernetes and related container-orchestration techniques.
• Interest in reinforcement-learning and agentic AI actively exploring emerging frameworks and research to advance to autonomous solutions. 
• You have to be currently based in the Netherlands to apply for this opportunity.

Additional Information :

Of course as an employer we also have a lot to offer you. Heres what you get from us:

• A gross monthly salary of at least 5038 and up to 7575 depending on your work experience based on a 40-hour workweek
• A guaranteed 13th month partly paid out monthly and partly in January of the following year. Or you can use it for a FLEX & BOOST goal of your choice! Click here to read more
• An annual individual and collective raise according to our CLA
• 1500 per year in personal development budget which you can use at your own discretion for things like training coaching and courses
• Flexible vacation days: our colleagues can decide for themselves (in consultation with their manager) how they take time off
• A good work-life balance (such as 2 days at the office 3 days working from home transition leave or swapping a public holiday for one of your religious or cultural choice)
• A home office shop to optimally set up your workspace at home naturally with a mobile phone & laptop
• 50% discount on our products and services so you can enjoy affordable internet calling and streaming
• Excellent commuting allowance: full reimbursement of public transport costs or 0.23 per kilometer if you travel by car. Prefer to come by bike Then youre eligible for our bicycle allowance of 0.40 per kilometer
• Possibility to purchase a lease bike with a monthly contribution from KPN (with a permanent contract): from city bikes to e-bikes and from racing bikes to speed pedelecs; you choose what you ride
• Excellent pension scheme: a total contribution of 23% of your pensionable salary of which KPN pays 16% and you pay 7%

Our belief in technology is strong. It becomes even more powerful combined with human contact which is why we look forward to meeting you.

Want to know more Get in touch with our recruiter Maggie Kramar viaor

At KPN we have recruitment talent that collaborates smartly and wins together. Thats why acquisition in response to this vacancy is not appreciated.

Remote Work :

No

Employment Type :

Full-time