AI Engineer
Halian .
Reading, United Kingdom
13 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
£ 95KJob location
Reading, United Kingdom
Tech stack
Java
API
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Big Data
Software as a Service
Continuous Integration
Data Stores
Distributed Systems
Python
NoSQL
Performance Tuning
Software Deployment
Software Engineering
SQL Databases
Cloud Platform System
Large Language Models
Prompt Engineering
Backend
Kubernetes
Docker
Microservices
Job description
We're hiring the first dedicated AI Engineer to join a fast-growing (~280 people) Healthtech organisation making a real-world impact. This is a rare opportunity to shape the AI strategy, design production-grade systems, and bring cutting-edge LLM-powered solutions into a live product environment. The Role
You'll sit at the intersection of AI, backend engineering, and cloud systems, designing and deploying intelligent features that directly impact users.
Expect to:
- Design and implement LLM-based applications (RAG pipelines, agents, copilots)
- Build scalable backend services using Python and Java
- Integrate AI into existing cloud-native SaaS platforms
- Own the full lifecycle: experimentation ? prototyping ? production
- Optimise model performance, cost, and latency in real-world environments
- Collaborate across engineering, product, and data teams to identify high-impact AI use cases
Requirements
- 5+ years in software engineering, with strong experience in Python and/or Java
- Hands-on experience working with LLMs (prompt engineering, fine-tuning, embeddings, vector databases, RAG)
- Experience building and deploying applications in cloud environments (Azure preferred, AWS/GCP also considered)
- Strong understanding of APIs, microservices, and distributed systems
- Familiarity with tools like Docker, Kubernetes, and CI/CD pipelines
- Experience working with data stores (SQL/NoSQL) and large datasets
- Bonus: experience with AI frameworks (LangChain, LlamaIndex, etc.)