AI Prompt engineer

AI Prompt engineer

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and refine AI prompts, structure data, and collaborate on healthcare tools.
  • Company: Join a mission-driven team focused on ethical AI with real-world impact.
  • Benefits: Enjoy 29 days holiday, health insurance, and hybrid work options.
  • Why this job: Be at the forefront of AI innovation that helps over 200,000 users.
  • Qualifications: Experience with LLMs, strong Python skills, and familiarity with data structures required.
  • Other info: Remote work available; offices in West London & the Wye Valley.

The predicted salary is between 36000 - 60000 £ per year.

Job Description

Prompt Engineer (AI & Data) – Junior to ExperiencedRemote work – United KingdomCompetitive day rateAI | LLMs | RAG | Healthcare Tech | Data EngineeringTech for Good | Real-World Impact | Ethical AIWe're Hiring: Full Stack Developer for Generative AI ApplicationsAre you a seasoned developer excited about the future of AI? We're looking for a Full Stack Developer with a strong backend foundation and a passion for building innovative applications powered by Generative AI.Whether you're working with startups launching their first AI product or helping larger companies integrate LLMs into existing platforms, you'll be at the forefront of transforming ideas into intelligent, scalable solutions.?? 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

�? Why Join?

  • Work on AI that actually helps people—200,000+ users and counting

?? Interested?Let’s chat. Drop me a message or apply directly—happy to share more!

AI Prompt engineer employer: Opus Recruitment Solutions Ltd

Join a mission-driven team that is at the forefront of ethical AI, where your work as an AI Prompt Engineer will directly contribute to innovative healthcare solutions impacting over 200,000 users. Enjoy a supportive work culture with hybrid flexibility, generous holiday allowances, and comprehensive benefits including health insurance and a pension scheme, all while collaborating with passionate professionals in a dynamic environment located in West London and the picturesque Wye Valley.
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Contact Detail:

Opus Recruitment Solutions Ltd 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 the current trends and technologies will not only help you during interviews but also demonstrate your genuine interest in the field.

✨Tip Number 2

Engage with online communities and forums related to AI and prompt engineering. Networking with professionals in the industry can provide valuable insights and potentially lead to referrals for job openings.

✨Tip Number 3

Showcase any personal projects or contributions to open-source AI applications. Having tangible examples of your work can set you apart from other candidates and highlight your practical skills.

✨Tip Number 4

Prepare to discuss ethical considerations in AI during your interview. Being able to articulate your thoughts on responsible AI practices will resonate well with our mission-driven team.

We think you need these skills to ace AI Prompt engineer

Prompt Engineering
Experience with LLMs (OpenAI, Anthropic)
Data Structuring Skills
Familiarity with SQL, JSON, CSV
Knowledge of Vector Databases (FAISS, Pinecone)
Understanding of RAG Pipelines
Strong Python Programming Skills
API Integration
Data Pipeline Development
Collaboration with Cross-Functional Teams
Experience in Healthcare Technology
Understanding of Accessibility Standards
Multilingual Interface Development
Adaptability to Regulated Environments

Some tips for your application 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the AI Prompt Engineer position. Familiarise yourself with terms like LLMs, RAG, and data engineering to demonstrate your knowledge in your application.

Tailor Your CV: Customise your CV to highlight relevant experience with LLMs, prompt engineering, and any work with structured and unstructured data. Use specific examples that showcase your skills in Python and API integration.

Craft a Compelling Cover Letter: Write a cover letter that reflects your passion for AI and how your background aligns with the company's mission. Mention any experience in healthcare tech or ethical AI to stand out as a candidate who shares their values.

Proofread Your Application: Before submitting, carefully proofread your application materials. Check for spelling and grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.

How to prepare for a job interview at Opus Recruitment Solutions Ltd

✨Showcase Your Technical Skills

Be prepared to discuss your experience with LLMs and prompt engineering. Highlight specific projects where you've designed prompts or worked with data pipelines, as this will demonstrate your technical expertise.

✨Understand the Company’s Mission

Familiarise yourself with the company's focus on ethical AI and its impact on healthcare. Showing that you align with their mission can set you apart from other candidates.

✨Prepare for Practical Assessments

You may be asked to complete a practical task during the interview. Brush up on your Python skills and be ready to demonstrate how you would structure unstructured data or build a prompt library.

✨Ask Insightful Questions

Prepare thoughtful questions about the role, team dynamics, and future projects. This shows your genuine interest in the position and helps you assess if it's the right fit for you.

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