At a Glance
- Tasks: Build AI features for clinical workflows in hospitals and create impactful solutions.
- Company: Join a growing HealthTech organisation focused on GenAI capabilities.
- Benefits: Competitive salary, strong learning investment, and hybrid working model.
- Other info: Dynamic team environment with opportunities for career growth.
- Why this job: Shape the future of AI in healthcare and make a real-world impact.
- Qualifications: Experience in AI engineering and knowledge of LLMs and RAG architectures.
The predicted salary is between 100000 - 100000 £ per year.
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 Wokingham (local candidates required).
HealthTech AI Engineer: Clinical Workflow Automation in Wokingham employer: Opus Recruitment Solutions
Agentic AI is an exceptional employer for those passionate about HealthTech and AI innovation, offering a competitive salary and a hybrid working model in Wokingham. With a strong commitment to employee growth through continuous learning and development in cutting-edge AI technologies, the company fosters a collaborative work culture that encourages creativity and real-world impact in clinical workflows. Join a forward-thinking team dedicated to shaping the future of healthcare through intelligent automation and meaningful contributions to patient care.
Contact Details:
Opus Recruitment Solutions Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land HealthTech AI Engineer: Clinical Workflow Automation in Wokingham
✨Tip Number 1
Network like a pro! Reach out to people in the HealthTech space, especially those working with AI and clinical workflows. Use platforms like LinkedIn to connect and engage with industry professionals; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI and clinical automation. This could be anything from GitHub repositories to case studies. When you apply through our website, having tangible examples of your work can really set you apart.
✨Tip Number 3
Prepare for interviews by understanding the company’s products and their AI applications. Dive deep into their current projects and think about how your skills can contribute. When you walk in (or log on), you’ll impress them with your knowledge and enthusiasm!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. It shows your interest and keeps you fresh in their minds. Plus, it’s a great opportunity to reiterate why you’re the perfect fit for the role!
We think you need these skills to ace HealthTech AI Engineer: Clinical Workflow Automation in Wokingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the HealthTech AI Engineer role. Highlight your experience with AI, clinical workflows, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in healthcare and how you can contribute to our mission. Keep it engaging and personal – we love to see your personality come through.
Showcase Relevant Projects:If you've worked on projects involving LLMs, RAG architectures, or automation in clinical settings, make sure to showcase them. We’re interested in real-world applications, so share your successes and challenges faced along the way!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Opus Recruitment Solutions
✨Know Your AI Stuff
Make sure you brush up on the latest AI technologies, especially those related to clinical workflows. Be ready to discuss how you've used LLMs and RAG architectures in your past projects. This shows you're not just familiar with the tech, but you can apply it in real-world scenarios.
✨Understand the HealthTech Landscape
Familiarise yourself with the current trends in HealthTech, particularly around AI integration in clinical settings. Knowing about ongoing pilots and how AI is being used to improve workflows will help you stand out as someone who’s genuinely interested in the field.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during your interview. Prepare to explain your approach to building AI-driven workflows and how you tackle challenges like context management and orchestration. Practising coding problems or system design questions can also be beneficial.
✨Show Your Collaborative Spirit
This role involves working closely with other engineers and stakeholders. Be ready to share examples of how you've successfully collaborated on projects in the past. Highlighting your ability to influence architectural decisions and work within a team will demonstrate that you're a great fit for their culture.
