AI Engineer - Public Sector - Outside IR35 - Edinburgh (Hybrid) Day Rate - Market Rates Duration - 12 months Harvey Nash's Public Sector Client are looking to bring in a contract AI Engineer, 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. 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 maximize 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.

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.

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