Overview
In this AI Engineer role, you design, build, deploy and monitor AI systems at scale within a cross-functional team. You will ship production-ready software that solves real user needs, balancing performance, cost and delivery timelines. You own quality through automated testing, metrics and observability, and you select appropriate approaches for each problem. You’ll work with modern AI tooling, cloud platforms and agentic architectures to deliver impact across the business.
Pay / Benefits
- Real ownership of AI systems in production
- Full lifecycle engineering culture
- Exposure to modern AI tooling and cloud architectures
- Cross-functional learning environment
- Hybrid working based in London
- Competitive package and benefits
Responsibilities
- Design, build, deploy and monitor AI systems that scale across the business
- Collaborate in a cross-functional team with product, data and platform engineers, releasing software frequently
- Own quality through automated testing, metrics and observability
- Assess and select the right solution for each task, balancing performance, cost and timelines
- Build and optimise systems for performance, scalability and reliability
Key requirements
- Proficiency in at least one programming language (e.g., Python, C#, JavaScript, Kotlin, Java or Go)
- Experience with Gen AI tools (LangGraph, CrewAI, Hugging Face or OpenAI APIs) and ML frameworks like PyTorch or TensorFlow
- Strong understanding of ML fundamentals and LLM challenges (prompt engineering, latency, cost)
- Experience with cloud platforms (AWS, GCP or Azure) and Terraform or similar IaC
- Hands-on with DevOps practices (CI/CD, Docker, Kubernetes) and observability tools (Prometheus, Grafana, Datadog)
- Experience with distributed systems, scaling, and SQL/NoSQL datastores
- Agentic workflow experience is a plus and English fluency to C2 level
- Collaborative mindset
- Strong problem-solving ability
- Proactive, learning-oriented
- Python, C#, JavaScript, Kotlin or Go
- Gen AI tools (LangGraph, CrewAI, Hugging Face, OpenAI APIs)
- PyTorch, TensorFlow
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