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- Tasks: Design and optimise AI prompts for data extraction and automate workflows.
- Company: Join a leading public sector client focused on innovative AI solutions.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Why this job: Make a real impact by enhancing AI systems and streamlining document processing.
- Qualifications: Experience in NLP, prompt engineering, and proficiency in Python or similar languages.
- Other info: Collaborative environment with a focus on research and innovation in AI technologies.
The predicted salary is between 36000 - 60000 £ per year.
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 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.
- 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).
Locations
AI Prompt Engineer in Edinburgh, Scotland employer: Harvey Nash
Contact Detail:
Harvey Nash Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Prompt Engineer in Edinburgh, Scotland
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your prompt engineering projects or any relevant work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AI and NLP. Practice explaining your thought process when designing prompts or automating workflows. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace AI Prompt Engineer in Edinburgh, Scotland
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with AI prompt engineering and document processing. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Showcase Your Skills: When detailing your experience, focus on your proficiency in Python and any work you've done with NLP or document AI. We love seeing specific examples of how you've tackled challenges in previous roles, especially those that relate to the key responsibilities listed.
Be Clear and Concise: Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. Remember, clarity is key when discussing complex topics like AI and automation!
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Harvey Nash
✨Know Your Prompts
Make sure you understand the principles of prompt engineering inside out. Be ready to discuss how you've designed and optimised prompts in the past, especially for extracting data from forms. Bring examples of your work to showcase your skills.
✨Showcase Your Technical Skills
Brush up on your Python skills and be prepared to talk about your experience with document AI and OCR technologies. You might even want to demonstrate a simple automation task during the interview to show off your proficiency.
✨Collaboration is Key
This role involves working closely with developers and data scientists, so be ready to discuss your teamwork experiences. Share examples of how you've collaborated on projects, particularly in aligning solutions with business needs.
✨Stay Updated and Innovative
Demonstrate your passion for the field by discussing recent advancements in prompt engineering and AI technologies. Mention any new techniques you've experimented with to improve extraction performance, showing that you're proactive about learning and innovation.
