If you are excited about building production-grade GenAI and LLM applications that create real-world impact in a dynamic, international environment, we invite you to join our team.

About The Role

We are currently seeking a skilled and motivated AI Engineer to help design, build, and deploy GenAI and LLM-based solutions across our organization, primarily within the Microsoft and Azure ecosystem. In this role, you turn business challenges into production-ready AI applications, from prompt and retrieval design to evaluation, deployment, and monitoring. You work closely with stakeholders and engineering teams to deliver reliable, responsible, and high-impact AI solutions.

Key Responsibilities

Design, develop, and deploy GenAI and LLM-based applications (e.g. assistants, retrieval-augmented generation, workflow automation)
Build solutions using Microsoft and Azure AI tooling (e.g. Copilot Studio, Azure AI Foundry, Azure OpenAI), with custom development where needed
Build robust prompting, retrieval, and evaluation pipelines with reproducible results
Integrate AI solutions with existing systems, data sources, and APIs
Define and track quality metrics (accuracy, latency, cost) and continuously improve solutions
Apply responsible-AI practices: safety, privacy, evaluation, and monitoring
Develop reusable components and tooling to accelerate AI development across teams
Collaborate with stakeholders to translate business needs into technical solutions
Contribute to deployment and operational practices for reliable AI services
Stay current with developments in GenAI, LLMs, and the broader AI ecosystem.

What We Offer

A performance-based salary that grows with your results
33 days of leave per year (including public holidays) to support a healthy work-life balance
Pension plan and travel allowance for on-site working days
Focus on personal development with a tailored growth plan
Wide career advancement opportunities across various technical roles and projects
A young, entrepreneurial, and innovative company culture
Flexible working hours in a 24/7 environment, with free lunch or dinner on-site
iPhone, laptop, and other necessary tools to help you perform your work optimally
Free sports facilities on campus to help you stay healthy and fit.

What You Bring

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field
3+ years of experience in software, data, or AI/ML engineering
Hands-on experience building applications with LLMs (prompting, RAG, and/or fine-tuning)
Experience with the Microsoft AI ecosystem (e.g. Copilot Studio, Azure AI Foundry, Azure OpenAI) is a strong plus
Working knowledge of Python (or a similar language) is helpful, but not a hard requirement
Familiarity with LLM tooling and concepts (e.g. RAG, vector databases, evaluation frameworks)
Awareness of MLOps and how AI solutions are deployed and operated
Familiarity with responsible-AI principles (safety, privacy, evaluation)
Strong analytical and problem-solving skills
Good communication skills and a collaborative, customer-oriented mindset
Experience in an international or fast-paced environment is a plus.

About Prodrive Technologies

We are dedicated to creating meaningful technologies that make the world work. We want to contribute to innovations that tackle major challenges in society, such as improving the quality of medical imaging. Besides, our technologies contribute to reducing the global dependency on fossil fuels and minimizing human exposure to air pollution. In other words, we create meaningful technologies that make the world work.

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