AI Prompting Engineer

March 3

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Hypatos

Hypatos is a company specializing in AI-powered document processing automation. Its platform enhances efficiency by deploying AI agents that handle transactional documents, increasing speed and accuracy while reducing the need for manual intervention. The company offers solutions for various business processes such as accounts payable, travel expenses, and order processing. Hypatos integrates with major systems like SAP and Microsoft, ensuring quick deployment and seamless operation. The platform's capabilities allow businesses to achieve high levels of automation, significantly lowering operational costs and reducing errors.

Backoffice automation • AP Automation • Accounts Payable automation • Document-based process automation • P2p automation

51 - 200 employees

🤖 Artificial Intelligence

🏢 Enterprise

💸 Finance

💰 Series A on 2022-01

📋 Description

• Design, develop, and refine prompts to optimize LLM outputs for intelligent document processing and other applications. • Evaluate and experiment with prompt engineering techniques, including chain-of-thought prompting, zero-shot, few-shot, and instruction tuning. • Collaborate with cross-functional teams to integrate prompt solutions into production pipelines. • Analyze and measure model performance to identify areas for prompt and model improvements. • Stay updated with the latest advancements in prompt engineering, LLMs, and NLP research. • Document methodologies, experiments, and best practices for prompt engineering. • Troubleshoot issues and provide prompt-based solutions to enhance model accuracy and reliability.

🎯 Requirements

• Master’s degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related field. • 2+ years of experience working with large language models and NLP technologies. • Proficiency in designing and optimizing prompts for LLMs. • Strong programming skills in Python and familiarity with machine learning libraries (e.g., FastAPI, PyTorch, TensorFlow, etc.) • Experience with evaluating model performance and applying prompt engineering techniques. • Strong analytical and problem-solving skills with a keen eye for detail. • Effective communication skills and the ability to work in a collaborative team environment. • Preferred Qualifications: Experience with intelligent document processing or similar real-world applications • Knowledge of fine-tuning techniques and working with open-source LLM frameworks. • Experience with AI agents, including frameworks like LangChain

🏖️ Benefits

• Unlimited vacation days • Professional development activities • Meal allowance • Sporting activities • Free beers • Hybrid working mode

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