5 of 5 OpenAI Jobs in Warwickshire

end Design scalable, secure API infrastructure for 9 products Bridge technical capability with monetization As well as good technical knowledge across: Cloud (Azure, AWS) Kubernetes (AKS) LLMs (Langfuse, Langchain, OpenAI) CI/CD (GitOps, Argo, Github) IaC (Terraform) In return they would be offering: Bonus Hybrid Working (onsite twice p/w) 25 days annual leave Health Insurance Matched Pension More ❯

industry works. This is leadership with substance: hands-on engineering, technical mentorship, and a tangible, real-world impact. Tech Stack: Langflow, Python, Supabase, Langfuse, REST APIs, OAuth 2.0, Azure OpenAI, Google Vertex, PostgreSQL, Azure Blob Storage, Prometheus, Grafana, Kubernetes, Docker, ArgoCD Benefits: Competitive salary • Performance bonus • 25 days leave • Health insurance • Pension • Wellness programmes • On-site perks (parking, meals, events More ❯

built systems that fail gracefully and alert appropriately. Skills in the Team Core tools : Langflow, Python, Supabase, Langfuse Integration : REST APIs, webhooks, OAuth 2.0 AI Services : LiteLLM Proxy, Azure OpenAI, Google Vertex Data : PostgreSQL, Azure Blob Storage Observability : Langfuse, Prometheus, Grafana, Loki Development : Git, GitHub, VS Code Deployment : Kubernetes (AKS), Docker, ArgoCD More ❯

built systems that fail gracefully and alert appropriately. Skills in the Team Core tools : Langflow, Python, Supabase, Langfuse Integration : REST APIs, webhooks, OAuth 2.0 AI Services : LiteLLM Proxy, Azure OpenAI, Google Vertex Data : PostgreSQL, Azure Blob Storage Observability : Langfuse, Prometheus, Grafana, Loki Development : Git, GitHub, VS Code Deployment : Kubernetes (AKS), Docker, ArgoCD More ❯

systems rather than proofs of concept. Responsibilities include: • Developing and maintaining the organisation’s LLM operations platform, including orchestration and observability. • Designing and deploying AI solutions using Langfuse, LiteLLM, OpenAI, and Azure OpenAI. • Working closely with engineering teams to embed AI capabilities within core products. • Implementing and integrating knowledge graph systems such as Neo4j. • Working within Kubernetes, .NET/C# … the ability to think strategically about architecture and commercial outcomes. Essential experience and skills: • Demonstrable production experience with LLM and machine learning systems. • Hands-on knowledge of Langfuse, LiteLLM, OpenAI, or Azure OpenAI. • Familiarity with graph databases, ideally Neo4j. • Experience in cloud environments, containerisation, and CI/CD pipelines. • Strong background in either .NET/C#/SQL or PHP More ❯