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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 streamlining document processing with cutting-edge AI technology.
- 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.
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.
- 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.
- 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).
AI Prompt Engineer in Edinburgh 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
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech space, attend meetups, and join online forums. The more connections we make, the better our chances of hearing about job openings before they even hit the market.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your prompt engineering projects or any relevant work. We can use platforms like GitHub to share our code and demonstrate our expertise in NLP and automation.
✨Tip Number 3
Prepare for interviews by practising common questions related to AI and prompt engineering. We should also be ready to discuss our past projects and how we tackled challenges. Mock interviews with friends can help us nail it!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace AI Prompt Engineer in Edinburgh
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!
Show Off Your Technical Skills: Since this role involves a lot of technical know-how, be sure to mention your proficiency in Python and any experience you have with OCR technologies. We love seeing candidates who can demonstrate their understanding of LLMs and prompt engineering principles.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to describe your past experiences and achievements. We appreciate candidates who can communicate effectively, especially when it comes to complex topics like AI and data extraction.
Apply Through Our Website: We encourage you to submit your application through our website for the best chance of being noticed. It’s super easy, and you’ll be able to track your application status directly. Plus, we love seeing applications come in through our own platform!
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. If you've worked with APIs or cloud-based AI services like Azure or AWS, make sure to highlight that too!
✨Collaboration is Key
This role involves working closely with developers and data scientists, so be ready to discuss how you've collaborated in previous projects. Share specific examples of how you’ve aligned solutions with business needs and tackled challenges as a team.
✨Stay Current and Innovative
Demonstrate your passion for the field by discussing recent advancements in prompt engineering and document AI technologies. Mention any experiments or innovative techniques you've tried to improve extraction performance, showing that you're proactive and forward-thinking.
