At a Glance
- Tasks: Build AI features for real clinical workflows and develop innovative solutions.
- Company: Dynamic HealthTech organisation expanding its GenAI capabilities.
- Benefits: Competitive salary, strong learning investment, and hybrid working model.
- Other info: Join a growing team with exciting career development opportunities.
- Why this job: Shape the future of AI in healthcare and make a real-world impact.
- Qualifications: Experience in Python, LLMs, and AI technologies.
The predicted salary is between 100000 - 100000 £ per year.
Are you the right applicant for this opportunity? Find out by reading through the role overview below.
Do you want to build AI features embedded directly into real clinical workflows used by hospitals, within a business actively rolling out GenAI solutions including Copilot integrations? This is a genuine opportunity to shape how AI is applied in production products, moving beyond internal tooling and experimentation into real-world impact.
This is the chance to join a growing HealthTech organisation that is actively expanding its GenAI capabilities across its core product, moving from early experimentation into scalable, real-world applications. With pilots already underway in hospital environments and strong investment into AI, the team is focused on embedding intelligent automation across workflows such as summarisation, documentation, and communication, delivering meaningful value to clinical users.
Joining their engineering team, you’ll play a key role in designing and building Agentic AI systems, leveraging LLMs and RAG architectures to create production-ready capabilities that integrate seamlessly into the product.
- You’ll develop AI-driven workflows including automated summaries, letter generation, and knowledge retrieval, while tackling challenges around orchestration, context management, and evolving knowledge bases.
- You’ll contribute across both prototyping and production environments, helping to scale AI solutions using tools such as OpenAI APIs and Microsoft Copilot, and embedding them into a SaaS platform operating in regulated settings.
- You’ll also play a key role in shaping the technical direction, keeping up to date with emerging AI frameworks, and influencing architectural decisions as the company continues to expand its AI capabilities.
The role offers a competitive salary, strong investment in learning and development focused on emerging AI technologies, and a hybrid working model based in Bracknell (local candidates required).
AI Engineer – Agentic AI in Bracknell employer: UK CPC
Join a pioneering HealthTech organisation in Bracknell, where you will have the opportunity to shape the future of AI in clinical workflows. With a strong commitment to employee growth through continuous learning and development in cutting-edge AI technologies, alongside a hybrid working model, this company fosters a collaborative and innovative work culture that values your contributions and encourages meaningful impact in healthcare.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer – Agentic AI in Bracknell
✨Tip Number 1
Network like a pro! Reach out to people in the HealthTech space, especially those working with AI. Use platforms like LinkedIn to connect and engage with industry professionals. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI, Python, or any relevant tech. This is your chance to demonstrate how you can contribute to real-world applications, just like the ones mentioned in the job description.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of LLMs, RAG architectures, and other key technologies listed in the job description. Be ready to discuss how you've tackled similar challenges in past projects – this will show you're the right fit for the role!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Engineer – Agentic AI in Bracknell
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, LLMs, and AI technologies. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re excited about the opportunity to work in HealthTech and how you can contribute to our mission of embedding AI into clinical workflows. Keep it engaging and personal!
Showcase Your Problem-Solving Skills:In your application, highlight specific examples where you've tackled challenges related to AI or data science. We love seeing how you approach problems and come up with innovative solutions, especially in real-world scenarios.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get all the latest updates about your application status!
How to prepare for a job interview at UK CPC
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, LLMs, and OpenAI. Brush up on your knowledge of Elasticsearch and Vector DBs too, as these will likely come up during technical discussions.
✨Showcase Real-World Applications
Prepare examples of how you've applied AI in real-world scenarios, especially in health tech or clinical workflows. Discuss any projects where you’ve integrated AI solutions into existing systems, as this will demonstrate your ability to create meaningful impact.
✨Understand the Company’s Vision
Research the company’s current AI initiatives and their future goals. Be ready to discuss how you can contribute to their mission of embedding intelligent automation in clinical workflows, showing that you’re aligned with their vision.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team’s projects. Inquire about their approach to scaling AI solutions and how they handle challenges in orchestration and context management. This shows your genuine interest and helps you assess if it’s the right fit for you.
