AI Engineer – Agentic AI

AI Engineer – Agentic AI

Full-Time 100000 - 100000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Build AI features for real clinical workflows and develop innovative AI-driven 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 Python, LLMs, and AI technologies is essential.

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 Bracknell (local candidates required).

AI Engineer – Agentic AI employer: Halian | Managed Services, Recruitment Agency & Contract Staffing

Join a pioneering HealthTech organisation in Bracknell, where you will have the opportunity to make a tangible impact on clinical workflows through innovative AI solutions. With a strong commitment to employee growth and development, the company offers competitive salaries, a hybrid working model, and a collaborative culture that encourages creativity and technical excellence. Be part of a team that is not only shaping the future of healthcare technology but also investing in your professional journey with access to cutting-edge training in emerging AI technologies.

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Contact Details:

Halian | Managed Services, Recruitment Agency & Contract Staffing Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Engineer – Agentic AI

Tip Number 1

Network like a pro! Reach out to folks in the HealthTech space, especially those working with AI. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. 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 could be anything from GitHub repos to case studies. When you apply through our website, having tangible examples can really set you apart.

Tip Number 3

Prepare for those interviews! Brush up on your knowledge of LLMs, RAG architectures, and how they apply to clinical workflows. Practice common interview questions and think about how your experience aligns with the role. Confidence is key!

Tip Number 4

Follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in their minds. Plus, it’s a great chance to reiterate why you’re the perfect fit for their team.

We think you need these skills to ace AI Engineer – Agentic AI

Python
LLMs (Large Language Models)
RAG (Retrieval-Augmented Generation)
AI Agents
OpenAI
Microsoft Copilot
Elasticsearch

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 systems or workflows. 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 updates about your application status. Plus, it’s super easy!

How to prepare for a job interview at Halian | Managed Services, Recruitment Agency & Contract Staffing

Know Your Tech Stack

Make sure you’re well-versed in the technologies mentioned in the job description, like Python, LLMs, and Elasticsearch. Brush up on your knowledge of how these tools can be applied in real-world clinical workflows, as this will show your potential employer that you understand their needs.

Showcase Your Problem-Solving Skills

Prepare to discuss specific challenges you've faced in previous projects, especially those related to AI and automation. Think about how you tackled issues around orchestration or context management, as these are key areas for the role. Real examples will make your experience more relatable and impressive.

Stay Updated on AI Trends

The field of AI is constantly evolving, so it’s crucial to stay informed about the latest frameworks and technologies. Be ready to share your thoughts on emerging trends and how they could impact the HealthTech sector. This demonstrates your passion and commitment to continuous learning.

Ask Insightful Questions

Prepare thoughtful questions about the company’s current AI projects and future direction. Inquire about their approach to integrating AI into clinical workflows and how they measure success. This not only shows your interest but also helps you gauge if the company aligns with your career goals.