Developer - Fully Remote

Take your career to the next level with Amaris Consulting as a AI Solutions Developer (IDP / UiPath). Be part of an international team, thrive in a global group with a €800M turnover and over 1,000 clients worldwide, and an agile environment. The ideal candidate will have a proven track record in building scalable, high-quality applications and is comfortable working across the entire stack.

✍️ WHAT WOULD YOU NEED? ✍️

At least 3 years of practical experience with UiPath, including creating integration processes with different technologies.

Experience in AI-driven solutions, preferably in Intelligent Document Processing (IDP).

Knowledge of prompt engineering and large language models (LLMs) for tasks such as file classification and data extraction.

Experience in designing and implementing automated document processing workflows, including categorization, tagging, and data extraction.

Ability to collaborate with data scientists, engineers, and business analysts to translate project requirements into effective automation strategies.

Strong skills in monitoring, evaluating, and improving AI model performance and prompting techniques in production environments.

Ability to document processes, prompts, and best practices for ongoing maintenance and knowledge sharing.

Awareness of the latest advancements in prompting engineering, NLP, and intelligent data processing technologies.

• Fluency in English;

additional languages are a plus.

Strong problem-solving skills, analytical thinking, and attention to detail.

WHAT WILL YOU BE DOING?

Develop, test, and optimize prompts for LLMs to improve file classification and data extraction accuracy.

Design and implement workflows for automated document processing, including categorization, tagging, and extraction.

Collaborate with data scientists, engineers, and business analysts to understand project requirements and define effective prompting strategies.

Create and maintain integration processes using UiPath across different technologies.

Monitor and improve the performance of AI models and prompting techniques in production.

Document all processes, prompts, and best practices to ensure maintainability and knowledge