Opus Recruitment Solutions
AI Engineer/ Data Scientist – Agentic AI – £100k + Hybrid – HealthTech / Clinical Workflows
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AI Engineer/ Data Scientist – Agentic AI – £100k + Hybrid – HealthTech / Clinical Workflows
Python | LLMs | RAG | AI Agents | OpenAI | Copilot | Elasticsearch | Vector DBs | Java | JavaScript | SaaS | Hybrid |
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.
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About the Role
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.
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Key Responsibilities
- Design and build Agentic AI systems leveraging LLMs and RAG architectures.
- Develop AI-driven workflows for summarisation, letter generation, and knowledge retrieval.
- Tackle challenges around orchestration, context management, and evolving knowledge bases.
- Contribute across prototyping and production environments.
- Scale AI solutions using tools such as OpenAI APIs and Microsoft Copilot.
- Embed AI solutions into a SaaS platform operating in regulated settings.
- Shape the technical direction and influence architectural decisions.
What We Offer
- Competitive salary.
- Strong investment in learning and development focused on emerging AI technologies.
- Hybrid working model based in Wokingham (local candidates required).
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