About the role
- Develop innovative solutions and applications based on Generative AI.
- Work with LLMs and develop applications leveraging large language models.
- Design and implement RAG solutions and connect them to data sources.
- Develop and enhance Prompts and interaction processes with AI models.
- Integrate AI models with applications and systems via APIs.
- Process data and prepare it for use in AI solutions.
- Test and improve the performance and accuracy of solutions and models.
- Stay updated on the latest technologies and tools in generative AI.
Skills
- Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science or a related field.
- Practical experience in Generative AI or Machine Learning.
- Proficiency in Python.
- Experience with LLMs.
- Familiarity with RAG, Prompt Engineering, Embeddings, Vector Databases.
- Experience in using APIs and integrating AI services with applications.
- Knowledge of one of the AI service providers such as OpenAI, Azure OpenAI, Google Gemini or Anthropic.
- Fluency in English.
Source: the employer's own careers page.
