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- Tasks: Design and refine AI prompts for healthcare tools, transforming data into actionable insights.
- Company: Join Opus Recruitment Solutions, a leader in ethical AI and healthcare tech innovation.
- Benefits: Enjoy hybrid work flexibility and be part of a mission-driven team making real-world impact.
- Why this job: Work on meaningful projects that help over 200,000 users while collaborating with diverse teams.
- Qualifications: Experience with LLMs, strong Python skills, and familiarity with data structures are essential.
- Other info: Open to recent grads and seasoned engineers; let's chat about your future!
The predicted salary is between 36000 - 60000 ÂŁ per year.
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Generative AI Recruitment consultant at Opus Recruitment Solutions
Prompt Engineer (AI & Data) – Junior to Experienced
Remote work – United Kingdom
AI | LLMs | RAG | Healthcare Tech | Data Engineering
???? Tech for Good | Real-World Impact | Ethical AI
We’re hiring a Prompt Engineer to join a cutting-edge R&D team building AI-powered tools that are transforming healthcare delivery. Whether you\’re a recent grad with a passion for LLMs or a seasoned engineer with experience in prompt design and data pipelines, this role offers the chance to work on meaningful, high-impact projects.
You’ll be working on real-world healthcare workflows—designing and refining prompts, structuring unstructured data, and embedding LLMs into intelligent support tools used by clinicians and care teams.
What You’ll Be Doing
- Designing, testing, and refining prompts for LLMs (OpenAI, Claude, etc.)
- Building prompt libraries and evaluation frameworks
- Structuring unstructured data (PDFs, notes, forms) into usable formats
- Working with RAG pipelines and vector databases (FAISS, Pinecone, etc.)
- Embedding LLMs into user-facing healthcare tools (e.g., AI assistants, in-context help)
- Collaborating with product, design, and clinical teams to ship real features
What You’ll Bring
- Experience with LLMs and prompt engineering (OpenAI, Anthropic, etc.)
- Familiarity with structured (SQL, JSON, CSV) and unstructured data
- Exposure to vector stores and retrieval-augmented generation (RAG)
- Strong Python skills and comfort working with APIs and data pipelines
- Bonus: experience in healthcare, accessibility, multilingual interfaces, or regulated environments
- Work on AI that actually helps people—200,000+ users and counting
- Be part of a mission-driven team focused on ethical, responsible AI
- Hybrid flexibility with offices in West London & the Wye Valley
Let’s chat. Drop me a message or apply directly—happy to share more!
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Full-time
Job function
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Job function
Information Technology
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Industries
IT Services and IT Consulting, Software Development, and IT System Custom Software Development
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London, England, United Kingdom 2 days ago
Greater London, England, United Kingdom 2 days ago
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AI Prompt Engineer employer: Opus Recruitment Solutions
Contact Detail:
Opus Recruitment 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 LLMs and prompt engineering. Follow industry leaders on social media and engage in relevant online communities to stay updated on trends and best practices.
✨Tip Number 2
Build a portfolio showcasing your experience with prompt design and data structuring. Include examples of projects where you've successfully implemented LLMs or worked with unstructured data, as this will demonstrate your practical skills.
✨Tip Number 3
Network with professionals in the healthcare tech space. Attend webinars, workshops, or local meetups to connect with others in the field, which can lead to valuable insights and potential referrals for the role.
✨Tip Number 4
Prepare to discuss ethical AI practices during interviews. Given the focus on responsible AI at StudySmarter, being able to articulate your understanding of ethical considerations in AI development will set you apart from other candidates.
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 engineering, and data structuring. Use specific examples that demonstrate your skills in these areas, especially if you have worked on healthcare-related projects.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and its applications in healthcare. Mention any specific projects or experiences that align with the role's requirements, and explain why you're excited about the opportunity to work with Opus Recruitment Solutions.
Showcase Technical Skills: Clearly outline your technical skills, particularly in Python, APIs, and data pipelines. If you have experience with vector databases or RAG, make sure to include that as well, as it is highly relevant to the position.
Highlight Collaboration Experience: Since the role involves working with product, design, and clinical teams, emphasise any past experiences where you collaborated across different departments. This will show your ability to work effectively in a team-oriented environment.
How to prepare for a job interview at Opus Recruitment Solutions
✨Showcase Your Passion for AI
Make sure to express your enthusiasm for AI and its applications in healthcare. Share any personal projects or experiences that demonstrate your interest in LLMs and prompt engineering.
✨Prepare for Technical Questions
Expect questions about your experience with LLMs, data structuring, and Python. Brush up on relevant concepts and be ready to discuss specific projects where you've applied these skills.
✨Demonstrate Collaboration Skills
Since the role involves working with product, design, and clinical teams, be prepared to discuss how you've successfully collaborated in past projects. Highlight your communication skills and ability to work in a team.
✨Understand the Ethical Implications
Familiarise yourself with the ethical considerations surrounding AI in healthcare. Be ready to discuss how you would approach responsible AI development and the importance of accessibility and inclusivity in your work.