Prompt Engineer

# Prompt Engineering Position ## Job Summary The **Prompt Engineering Position** focuses on leveraging advanced prompt engineering techniques to enhance the performance of Large Language Models (LLMs) across a variety of applications. The role primarily involves optimizing LLM models for tasks such as data extraction from scanned documents. ## Responsibilities - Develop and optimize prompt engineering strategies to improve LLMs' effectiveness on numerous tasks. - Create models for data extraction from various scanned documents. - Collaborate with cross-functional teams to implement enhancements and ensure alignment with project goals. - Monitor and evaluate model performance and make necessary adjustments for continuous improvement. - Document methodologies and results to support knowledge sharing and best practices across the organization. ## Qualifications - Proficient in **Python** and **AWS Lambda** for model development and deployment. - Strong understanding of LLM architectures and prompt engineering methodologies. - Demonstrated experience in data extraction and processing techniques. - Excellent analytical and problem-solving skills. - Skilled in debugging and performance optimization. - Strong communication skills to effectively collaborate with team members. - A bachelor's or master’s degree in Computer Science, Engineering, or a related field. ## Preferred Skills - Experience with various machine learning frameworks (e.g., TensorFlow, PyTorch). - Familiarity with document processing tools and techniques. - Knowledge of version control systems, preferably Git. ## Experience - 6 to 10 years of relevant experience in prompt engineering, machine learning, or data science roles. ## Environment - This position is **remote**, allowing for flexible work arrangements.