remote
Applied AI Engineer - Prompting & Evaluation - Klipboard
AI Engineer
Applied AI Engineer focused on designing, testing, and refining prompt strategies for large language models, driving performance improvements across trading and business management solutions using Python, ML, and NLP techniques.
About the role
Key Responsibilities
- Develop and iterate prompt engineering solutions for large language models to support trading and ERP SaaS products.
- Design and conduct systematic evaluation experiments, measuring accuracy, relevance, and user satisfaction.
- Collaborate with data scientists and product teams to integrate AI insights into end‑to‑end workflows.
- Maintain reproducible pipelines using Python, Jupyter, and version control.
- Document findings, create technical reports, and present results to stakeholders.
Requirements
- Strong background in Machine Learning and Natural Language Processing.
- Proficiency in Python and experience with ML libraries (PyTorch, TensorFlow, Hugging Face).
- Hands‑on experience with prompt engineering and evaluation of LLMs.
- Excellent analytical and problem‑solving skills.
- Effective communication and teamwork abilities.
Skills
pythonmachine learningnatural language processing