AI Prompt Engineer

Harvey Nash's Pub Sec client are seeking an AI Prompt Engineer to design, develop, and optimise prompt-based solutions for AI systems. This role will design and optimise AI prompts for extracting data from forms, fine‑tune models for accuracy, automate end‑to‑end workflows, and manage production deployments. The ideal candidate will ensure robust, scalable, and secure AI solutions that streamline document processing. The initial focus of the role will look at building on existing solutions to extract structured data from various forms and documents. This role combines expertise in natural language processing (NLP), prompt engineering, and workflow automation to enable accurate and efficient data processing.

Key Responsibilities

• Prompt Design & Optimisation: Develop and refine AI prompts to accurately extract data fields from structured and semi‑structured forms. Test and iterate prompts for different document types and languages to maximise accuracy and reliability. Ensure prompt development is reusable and scalable across different use case scenarios. Work closely with developers, data scientists, and business analysts to align solutions with business needs. Fine‑tune AI models to improve performance across diverse document types and languages.
• Workflow Automation: Develop automated pipelines for document ingestion, data extraction, and validation. Integrate AI solutions with OCR tools and enterprise systems for seamless processing.
• Deployment & Support: Manage deployment of AI solutions into production environments. Monitor system performance, troubleshoot issues, and provide ongoing support.
• AI Model Integration: Collaborate with data scientists and developers to integrate prompt‑based solutions into existing AI/ML pipelines. Ensure compatibility with OCR tools and document processing systems.
• Data Quality & Validation: Implement validation logic to ensure extracted data meets quality standards. Work with QA teams to identify and resolve extraction errors.
• Research & Innovation: Stay updated on advancements in prompt engineering, LLMs, and document AI technologies. Experiment with new techniques for improving extraction performance and reducing manual intervention.
• Collaboration & Documentation: Partner with business analysts to understand form structures and data requirements. Document prompt strategies, workflows, and best practices for internal knowledge sharing. Document guidance to support deployment approach and ongoing support and maintenance activities.

Required Skills & Qualifications

• Strong understanding of Large Language Models (LLMs) and prompt engineering principles.
• Experience with document AI, OCR technologies, and data extraction workflows.
• Proficiency in Python or similar languages for automation and integration tasks.
• Familiarity with APIs and cloud‑based AI services (e.g., Azure OpenAI, AWS, Google AI).
• Excellent problem‑solving skills and attention to detail.
• Background in NLP, machine learning, or data science.
• Experience with form processing systems in finance, healthcare, or enterprise environments.
• Knowledge of data privacy regulations and secure handling of sensitive information.
• Demonstrated success in delivery across both distributed and hybrid on‑premises and cloud technology estates.
• Experience in managing both agile and waterfall projects.
• Excellent interpersonal skills, influencing and communication skills.
• Ability to apply a broad understanding of IT infrastructure and interdependencies to create effective, risk‑minimising migration plans.
• The candidate will have an awareness of Digital First Service Standards, and Government Digital Services (GDS).