AI Engineer

AI EngineerUp to 80,000 + strong benefitsHybrid | LondonWe're working with an established technology and services business to find an AI Engineer who will help design, build, deploy and monitor AI systems in production. This is an AI Engineer role for someone with a real curiosity for AI and a firm grounding in software engineering, who wants their work shipping to real users rather than sitting in a proof of concept. You'll sit in a cross-functional team alongside product, data and platform engineers, releasing high-quality software to a frequent cadence.The team is hands-on across the full lifecycle, owning what they build all the way through to running it in production. You'll help pick the right approach for each problem, keep an eye on cost and timelines, and make sure what ships is well tested and reliable.Responsibilities as an AI Engineer:Design, build, deploy and monitor AI systems that scale across the businessWork in a cross-functional team with product, data and platform engineers, releasing software frequentlyOwn quality through rigorous automated testing, metrics and observabilityAssess and select the right solution for each task, balancing performance, cost and delivery timelinesBuild and optimise systems for performance, scalability and reliabilityRequirements:Proficiency in at least one programming language (for example Python, C#, JavaScript, Kotlin, Java or Go)Experience with Gen AI tools (such as LangGraph, CrewAI, Hugging Face or OpenAI APIs) and ML frameworks like PyTorch or TensorFlowStrong understanding of ML fundamentals (training, evaluation, deployment) and LLM-specific challenges such as prompt engineering, latency and cost optimisationExperience with cloud platforms (AWS, GCP or Azure) and infrastructure-as-code such as TerraformHands-on with DevOps practices (CI/CD, Docker, Kubernetes) and observability tools like Prometheus, Grafana or DatadogExperience with distributed systems, scaling, and both SQL and NoSQL datastoresAgentic workflow experience (autonomous or multi-agent systems) is a plus, and this AI Engineer role suits someone fluent in English to C2 levelBenefits:Real ownership of AI systems in productionA hands-on, full-lifecycle engineering culture where you build it and run itWork across modern AI tooling, cloud and agentic architecturesA cross-functional team with strong product, data and platform peers to learn fromHybrid working based in LondonCompetitive package and benefits (to confirm with the client)If you're an engineer who wants to build real AI products at scale, this AI Engineer role is worth a conversation. Bring the software fundamentals and the appetite to learn fast, and you'll ship work that reaches people every day.Apply now to be considered for the AI Engineer role.**Due to the high volume of applications, not all applicants will receive feedback.