AI Engineer

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