We're partnering with an innovative MedTech company in North of England that is building next-generation intelligent healthcare solutions. They are now looking for an number of AI Agentic Engineer to help design, build, and deploy autonomous AI systems that will directly support clinical and operational decision‑making.
This is a highly impactful role where you'll be working at the intersection of AI, software engineering, and healthcare innovation – developing agent‑based systems that can reason, plan, and act within real‑world medical workflows. You'll be joining a forward‑thinking engineering team that is scaling rapidly, with a strong focus on responsible AI, performance, and real‑world application.
What you’ll be doing
You’ll design and develop AI agent systems that can interact with tools, APIs, and data sources to complete complex tasks autonomously. You’ll work closely with product and engineering teams to translate clinical and operational requirements into scalable AI‑driven solutions, while ensuring safety, reliability, and interpretability are built into everything you deliver.
This role is based in Newcastle, with fully remote working available, plus occasional collaboration sessions with the team when required.
Why join?
This is a rare opportunity to work on cutting‑edge AI systems in a mission‑driven MedTech environment, where your work will have direct real‑world impact. You’ll be joining a highly technical team solving meaningful problems with modern AI approaches.
We’re looking for engineers with strong experience in AI/ML or software engineering who are excited by agentic AI systems and real‑world applications.
* Strong Python development experience
* Hands‑on experience with LLMs and agent frameworks (e.g. LangChain, LlamaIndex, AutoGen or similar)
* Understanding of prompt engineering, RAG pipelines, and tool‑using AI systems
* Experience working with APIs, data pipelines, and cloud platforms (AWS, Azure or GCP)
* Strong software engineering fundamentals (testing, version control, scalable design)
Bonus experience
* Background in healthcare, life sciences, or regulated environments
* Experience with AI safety, evaluation, or model monitoring
* Familiarity with distributed systems or event‑driven architectures
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