Prompt Engineer

# Prompt Engineer ## Job Summary The Prompt Engineer will focus on developing and optimizing Large Language Model (LLM) prompts to enhance model performance across a broad range of common and complex tasks, including data extraction from scanned documents. This contractual role requires expertise in prompt engineering, hands-on experience with LLMs, and the technical acumen to deliver efficient solutions using Python and Lambda functions. The ideal candidate will play a critical role in advancing AI-driven data extraction capabilities and ensuring reliable, scalable results for diverse document types. ## Responsibilities - Design, test, and optimize prompts for LLMs to improve performance on varied tasks, especially data extraction from scanned documents. - Develop and implement prompt engineering strategies to handle both common and complex data extraction scenarios. - Collaborate with team members to evaluate prompt effectiveness and identify areas for improvement. - Integrate and automate LLM-based solutions using Python and Lambda functions. - Troubleshoot and resolve issues related to LLM prompt effectiveness and extraction accuracy. - Document best practices, workflows, and technical solutions developed during the project. ## Qualifications - Minimum 5 years of experience in AI/ML, NLP, software engineering, or a related field. - Proficient in Python programming. - Experience with Lambda (AWS Lambda or similar serverless frameworks). - Deep understanding of prompt engineering principles for LLMs. - Strong analytical and problem-solving skills. - Excellent written and verbal communication abilities. - Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related discipline. ## Preferred Skills - Experience working with OCR (Optical Character Recognition) and document processing pipelines. - Familiarity with advanced LLM architectures and fine-tuning techniques. - Knowledge of additional cloud services (AWS, Azure, GCP). - Background in handling unstructured or semi-structured data. - Experience with API integrations and automation. ## Experience - A minimum of 5 years’ professional experience in relevant fields such as AI, NLP, LLMs, or software development. - Proven track record of developing and optimizing prompts for LLMs, with demonstrable outcomes in similar projects. ##