Custom AI solutions and agent frameworks for enterprise
WeBuild-AI is a London-based AI consultancy founded in 2024, building production-grade AI solutions for enterprise clients. The stack spans the full ML/AI spectrum—PyTorch, TensorFlow, OpenAI, Azure OpenAI, Bedrock—alongside infrastructure (Kubernetes, AWS DataZone, Azure Fabric) and emerging agentic frameworks (AutoGen, LangGraph). Active hiring across engineering, data, and leadership roles (Head of Engineering, Head of People posted in the last 30 days) suggests rapid scaling of delivery capacity, while the project list centers on distributed agent systems and an internal 'Pathway' platform, indicating WeBuild-AI is building repeatable tooling for AI deployments rather than one-off consulting.
Notable leadership hires: Head of Engineering, Head of People
WeBuild-AI delivers custom AI and data transformation solutions to enterprise organizations. Founded in 2024 and based in London, the company operates across three domains: generative AI product development, machine learning systems, and data fabric architecture. The team is currently 11–50 people and hiring exclusively in the UK. Core projects include a proprietary internal platform (Pathway) for AI delivery, active development of AI agents using framework libraries like AutoGen and LangGraph, and integration of large-scale distributed systems combining AI and data services. The company is recruiting engineering-heavy, with senior and principal-level roles emphasizing depth over headcount growth.
Primary stack includes TensorFlow, PyTorch, OpenAI, Azure OpenAI, AWS Bedrock, and SageMaker. Recently adopting AutoGen and LangGraph for agent frameworks, with infrastructure via AWS, GCP, Azure, Kubernetes, and Docker.
Building distributed AI and data systems, developing an internal Pathway platform for repeatable AI delivery, implementing and customizing agent frameworks (AutoGen, LangGraph), and creating AI agent solutions for enterprise clients.
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