On behalf of our partner, a growing technology-driven organization with operations across Europe, we are looking for an AI Engineer to join their engineering team and contribute to the development of internal AI-powered tools and automation platforms.
Our client is investing in AI-driven solutions to improve operational efficiency, automate internal processes and support data-driven decision making across the organization. The successful candidate will play a key role in designing, building and scaling internal AI applications that will evolve alongside the company's technological roadmap.
This is an exciting opportunity to work in a high-impact role, where you will help shape the company's internal AI capabilities from an early stage.
What You Will Do
- Design and develop AI-powered internal tools and services to support business operations and internal teams
- Build and integrate machine learning and LLM-based solutions into internal platforms and workflows
- Develop APIs and backend services to enable AI functionality across internal systems
- Work with structured and unstructured data to train, evaluate and deploy AI models
- Prototype and experiment with modern AI frameworks and generative AI technologies
- Collaborate with engineering and business teams to identify opportunities for automation and AI-driven improvements
- Deploy and maintain AI services in cloud environments
- Optimize model performance, scalability and reliability in production environments
- Implement monitoring and evaluation mechanisms for AI systems
- Contribute to architectural decisions related to the company's evolving AI infrastructure
Requirements
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering or a related field
- 1-3 years of professional experience as an AI Engineer, Machine Learning Engineer or similar role
- Hands-on experience with Python for machine learning and backend development
- Experience working with machine learning or deep learning frameworks such as TensorFlow, PyTorch, Scikit-learn
- Familiarity with LLM frameworks and AI tooling such as LangChain, LlamaIndex, OpenAI APIs or similar LLM providers
- Experience building REST APIs or backend services (FastAPI, Flask or similar)
- Understanding of data pipelines and working with large datasets
- Familiarity with cloud environments (AWS, Azure or GCP)
- Knowledge of vector databases or search technologies (e.g., Pinecone, Weaviate, FAISS) will be considered a plus
- Basic understanding of Docker and containerized deployments
- Strong problem-solving and analytical thinking skills
- Ability to work in a fast-evolving technical environment
- Fluency in English
What We Offer
- Competitive remuneration package based on experience
- Opportunity to work on cutting-edge AI technologies and internal platforms
- Exposure to modern AI architectures and scalable systems
- Collaborative and innovation-driven engineering culture
- Opportunities for technical growth and ownership of AI initiatives
If you are interested in building practical AI applications that directly impact business operations, we would be happy to connect and discuss this opportunity further.
