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Writer in Greater London is seeking a hands-on engineer to design and ship generative AI services and APIs in Python, owning core platform architecture from proposal through production. A strong candidate will have production Python experience and real deployments of LLM applications with vector stores and agent frameworks.
The role focuses on building secure, scalable services around AI models within enterprise environments, requiring comfort with cloud platforms, containers, and
The role asks for a hands on engineer who can design and ship generative AI services and APIs in Python, and who can own core platform architecture from proposal through production. A strong candidate brings several years of production Python work plus real experience deploying LLM applications with vector databases and agent frameworks. Comfort with cloud platforms, containers, and enterprise concerns like identity and access makes the person effective in large corporate settings.
The work sits close to the AI itself, building the services that connect models and agent workflows into a platform used by large enterprises. Much of the routine coding can be sped up with AI developer tools, so judgment shifts toward system design, security, and reliability. Human strengths that stay central are architectural decisions, cross team communication, and accountability for what reaches production.
A person here would gain direct practice deploying LLMs, vector stores, and agent frameworks inside governed enterprise environments. They would also learn how to build secure, scalable services around AI models, which is a transferable skill across the sector. Building familiarity with identity, access, and monitoring for AI services would strengthen readiness for this kind of role.
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Writer is an enterprise AI platform for building and supervising AI agents grounded in company data, per the company.