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- Tasks: Design and optimise AI prompts for data extraction and automate workflows.
- Company: Join a leading tech firm focused on innovative AI solutions.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology and make a real difference in data processing.
- Qualifications: Experience in NLP, prompt engineering, and proficiency in Python or similar languages.
- Other info: Collaborative environment with exciting projects and career advancement potential.
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 maximise 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 Group
Contact Detail:
Harvey Nash Group 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, especially those who work with prompt engineering or document AI. Attend meetups, webinars, or even online forums to connect with potential employers and get insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best work in prompt design and optimisation. Include examples of how you've fine-tuned models or automated workflows. This will give you an edge when chatting with hiring managers.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of LLMs and document AI technologies. Be ready to discuss your experience with Python and automation tasks. We want to see how you can apply your skills to real-world problems!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. So, go ahead and take that step!
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 requires a strong understanding of LLMs and Python, be sure to mention any specific projects or experiences that demonstrate your proficiency. We love seeing concrete examples of how you've tackled similar challenges in the past.
Keep It Clear and Concise: When writing your application, clarity is key! Use straightforward language and avoid jargon unless it’s relevant. We appreciate a well-structured application that gets straight to the point without unnecessary fluff.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Harvey Nash Group
✨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, and think about specific examples where your prompts have improved data extraction accuracy.
✨Showcase Your Tech 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 share examples of how you've successfully collaborated in the past. Discuss how you align technical solutions with business needs and how you handle feedback.
✨Stay Updated and Innovative
Demonstrate your passion for the field by discussing recent advancements in prompt engineering or document AI technologies. Share any experiments you've conducted to improve extraction performance, showing that you're proactive and innovative.
