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ClosedPosted 523 days ago

Prompt Engineer

Codersbrain

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This posting closed on 2026-10-22.

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This job: posted 523 days ago

The posting

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.

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