Artificial Intelligence Engineer

We're looking for AI engineers who want to build production-ready AI solutions that tackle real-world challenges in life sciences, from RAG chatbots to agentic AI systems supporting evidence-driven projects. You will design, develop, and deploy AI systems that have measurable impact, influence patient access to treatments, and support decision-making in healthcare.

Our client is a fast-growing life sciences technology company with offices in the UK and Europe. They specialise in applying AI to accelerate patient access to treatments through practical, evidence-driven solutions. The company values collaboration, innovation, and creating a culture where employees can grow and make a tangible impact in healthcare.

Key responsibilities

• Design, develop, and deploy AI systems with a focus on RAG chatbots and agentic AI.
• Lead real-world evidence projects, ensuring AI solutions are reliable, measurable, and impactful.
• Implement data pipelines, retraining workflows, and monitoring to maintain model performance.
• Design evaluation metrics to assess accuracy, latency, UX quality, safety, and real-world utility.
• Collaborate with product, software, and platform teams to deliver scalable, production-ready AI solutions.
• Champion software engineering best practices, including code reviews, testing, CI/CD, and reproducibility.
• Ensure AI solutions meet security, compliance, and responsible AI standards.

Skills & expertise

• Mid-to-senior AI engineer with 3+ years in data science or software engineering, including substantial AI experience.
• Strong Python skills and experience with LLM APIs (OpenAI, Anthropic, or similar).
• Expertise in GenAI frameworks (LangChain, LlamaIndex, Haystack, Hugging Face Transformers).
• Hands-on experience with RAG pipelines, vector databases (Pinecone, FAISS, Weaviate), and chatbot deployment.
• Proven experience with agentic AI (tool use, planning, multi-step reasoning) and production-level systems.
• Experience delivering AI solutions in real-world or evidence-driven projects, preferably in life sciences.
• Strong communication skills and understanding of AI ethics, bias mitigation, and responsible AI practices.

Desirable skills

• Model fine-tuning, knowledge graphs, or multi-modal AI systems.
• AWS or other cloud platform experience for scalable GenAI deployment.
• Client-facing experience in AI projects.

Benefits

• Hybrid working model (UK & Europe).
• Career development and professional growth opportunities.
• Collaborative culture with a focus on impact and innovation.
• Health insurance and wellness programmes.
• Access to cutting-edge AI tools and projects.

Your consultant

As a Recruitment Consultant at Aspire Life Sciences, Jack Wilson specialises at the intersection of technology and life sciences. He focuses on placing high-level Data, AI and Machine Learning talent with fast-growing startups across the UK, Europe, and the USA. Jack’s deep industry insight allows him to connect candidates with roles where cutting-edge technology meets life-saving healthcare innovation.