AI Engineer
Team: Engineering
Location: Europe
Commitment: Full-Time or Part-Time
Workplace Type: hybrid
Requirements
- BSc, MSc or PhD in Computer Science, Engineering, Physics, or a related technical or STEM field from a leading university.
- Experience working with relevant models and/ or architectures within the following fields: Computer Vision, Natural Language Processing, or Graph Neural Networks.
- Experience writing production-ready code.
- Experience programming in Python.
- Familiarity with the frontier labs APIs (Gemini, OpenAI, Anthropic), and their advanced features like structured outputs and tool calling.
- Understanding of LLM inference considerations e.g. input vs. output tokens, prompt caching.
- Strong computer science fundamentals in areas such as data structures, cloud infrastructure, distributed systems, machine learning, and high-performance computing.
- Experience and willingness to work through the challenges associated with large, unstructured, real-world data sets.
- Ability to develop custom tooling for efficient experimentation and evaluation of LLM applications / agentic workflows
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