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 (eg, 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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