Prompt Engineer | Codersbrain
contractual
Posted on May 17, 2025
Job Description
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.