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.