AI developer
Posted Updated
Description
Technical competencies
- Develop and fine-tune AI models, including LLMs, Agentic AI, and Generative AI systems.
- Participate in building and deploying robust AI applications and services on cloud platforms (preferably Microsoft Azure).
- Design and implement efficient AI pipelines – from data preparation through to model deployment and monitoring.
- Strong understanding of how AI services communicate with broader ecosystems, including APIs, microservices, and cloud infrastructures.
- Familiarity with natural language processing (NLP) tools and techniques, with the ability to assess and apply relevant solutions for different use cases.
- University/college degree (preferred in Computer Science or Engineering, with AI specialization).
- Strong hands-on experience with Python and AI/ML frameworks.
- Experience with version control tools (Azure DevOps/Git).
- Strong command of English language (both verbal and written) and native Hungarian.
Non-technical competencies
- Team player attitude.
- Motivated, proactive, enthusiastic, self-driven personality.
- Willingness to learn new technologies.
- Support and guide junior developers.
- Able to explain complex AI concepts clearly to both technical and non-technical stakeholders.
- Strong analytical and problem-solving skills.
- Work effectively with cross-functional teams.
- Translate abstract problems into clear AI solution designs.
- Professional attitude and appearance.
Advantages
- Experience optimizing model inference, managing resources efficiently, and designing scalable architecture.
- Experience within a professional services firm.
- Knowledge of .NET / C#.
- Experience with relational databases (preferred MS SQL).
- Familiarity with data visualization tools.
- Background in working with structured and unstructured data, embeddings, vector databases, and data pipelines.
- Understanding of responsible AI, data governance, and security considerations in AI system design.