Senior AI Engineer
- Proficiency in at least one programming language. I.e Python, C#, JavaScript, Kotlin, Java, Go..
- Experience with Gen AI tools (e.g LangGraph, CrewAI, Hugging Face, OpenAI APIs etc)
- Experience in building and optimising systems for performance, scalability, and reliability
- Understanding of ML fundamentals (training, evaluation, deployment) and LLM-specific challenges (prompt engineering, latency, cost optimisation, hallucinations, evaluation)
- Experience with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code (Terraform etc).
- Hands-on with DevOps/Infra tooling (CI/CD, Docker, K8s) and observability (Prometheus, Grafana, Datadog etc)
- Experience building distributed systems.
- Knowledge and hands-on experience with multiple data stores (both SQL and NoSQL)
- Desired experience in building agents and workflows (e.g autonomous systems or multi-agent architectures)
- A passion for AI Engineering
- Fluent in English (C2 proficiency)
- Located in London
- Please note that if you live within a commutable distance of the office you will be asked to enter into a hybrid working arrangement - at least 2x a week in the office.
- A secure home office at your confirmed address, free from background noise or other distractions.
- You must meet our minimum internet speeds if you want to work remotely / in our hybrid model and this will be checked during the recruitment process and again when you join. We also have a great office that you can work from as an alternative.
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