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- Tasks: Develop and optimise AI prompts for healthcare technology.
- Company: Join a mission-driven business improving lives through innovative AI solutions.
- Benefits: Enjoy 29 days holiday, health insurance, and perks like Perkbox.
- Why this job: Be at the forefront of AI innovation in healthcare, impacting thousands positively.
- Qualifications: Experience with LLMs, prompt design, and structured data is preferred.
- Other info: Hybrid role with travel to West London and Wye Valley required.
The predicted salary is between 28000 - 63000 ÂŁ per year.
Location: Hybrid (within reach of the M4 / M5 / M50 ideally - my client has offices in West London & the Wye Valley on the Wales / England border so some travel to these locations will be needed)
Salary: ÂŁ35-90k (depending on experience)
Benefits: 29 days holiday (+BHs), Pension, Perkbox, Health Insurance, Employee Assistance Program, Investors in People (Gold)
Are you an aspiring or experienced AI Prompt Engineer ready to develop and optimise natural language interfaces, prompt strategies and data pipelines for Healthcare Technology? Join an innovative business with a reputation and commitment for improving the quality of people’s lives. They are on a mission to empower and revolutionise how care is delivered to others through the effective use of intelligent support tools by leveraging LLMs, Prompt Design and Data & Knowledge Engineering.
I’m seeking an AI Prompt Engineer to join the R&D team and design, test and refine prompts, clean and map unstructured text and structured fields into usable metadata and semantic indexes for use in RAG systems and collaborate with product and design teams to embed LLM-powered assistants into customer facing healthcare support tools.
What You’ll Do
- Work across LLM design, structured data integration and real-world healthcare workflows
- Create prompt libraries
- Build pipelines to structure documents, notes, data and multimedia into formats consumable by LLMs/AI agents
- Support the delivery of features like in-context help, AI-powered insights, conversation-based documentation, and lookup assistants
- Build & run prompt evaluation frameworks and create feedback loops
What You Bring
- Experience working with LLMs and prompt design (ideally OpenAI or similar)
- An understanding of structured data (SQL, JSON, CSV) and unstructured text (PDFs, documents, form data).
- Exposure to RAG architectures and vector stores (such as FAISS, Pinecone…)
- The ability to work with and communicate with multi-disciplinary teams at all levels of an organization
- Any experience in a professional services / regulated industry or knowledge of language / translation, transforming written content to voice or redacted content, multi-lingual interfaces, accessibility-focused UI/UX and/or voice-based interfaces would be ideal but not essential
Why You’ll Love It Here
- Be part of a “tech for good” healthcare business known for their focus on improving the quality of people’s lives
- Working at the forefront of innovation with regards to AI’s capability, usage and impact on the healthcare sector
- Positively impacting the 200,000+ users and millions of beneficiaries of my client’s work
Sound Like You? Let’s talk! Click "Easy Apply" or message me directly to learn more.
AI Prompt Engineer employer: Eutopia Solutions
Contact Detail:
Eutopia Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Prompt Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and LLMs. Understanding how these technologies work will not only help you in interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with professionals in the healthcare technology sector. Attend relevant meetups or webinars to connect with others who are already working in roles similar to the one you're applying for.
✨Tip Number 3
Prepare to discuss real-world applications of prompt engineering in healthcare. Think of examples where AI has improved patient care or streamlined processes, as this will show your understanding of the industry.
✨Tip Number 4
Be ready to showcase any projects or experiences related to structured data and prompt design. Having concrete examples will help you stand out and illustrate your skills effectively.
We think you need these skills to ace AI Prompt Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience with LLMs, prompt design, and any exposure to healthcare technology. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and healthcare. Mention specific projects or experiences that relate to the responsibilities of an AI Prompt Engineer, and explain why you want to work for this innovative company.
Showcase Technical Skills: In your application, clearly outline your technical skills related to structured data (like SQL, JSON, CSV) and unstructured text processing. Provide examples of how you've used these skills in previous roles or projects.
Highlight Collaborative Experience: Emphasise your ability to work with multi-disciplinary teams. Include examples of past collaborations that demonstrate your communication skills and how you contributed to successful outcomes in a team setting.
How to prepare for a job interview at Eutopia Solutions
✨Understand the Role
Make sure you have a solid grasp of what an AI Prompt Engineer does. Familiarise yourself with LLMs, prompt design, and how they apply to healthcare technology. This will help you answer questions confidently and demonstrate your enthusiasm for the role.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with structured data formats like SQL, JSON, and CSV, as well as unstructured text. If you've worked with RAG architectures or vector stores, highlight these experiences to show your technical proficiency.
✨Prepare Examples of Collaboration
Since the role involves working with multi-disciplinary teams, think of examples where you've successfully collaborated with others. This could be in previous jobs, projects, or even during your studies. Emphasising your teamwork skills will be crucial.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's mission, the R&D team's current projects, or how they measure success in their AI initiatives. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
