Software engineer, generative AI (UK)

present of AI

Greater London

Hybrid

GBP 90,000 - 140,000

Full time

4 hours ago
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Job summary

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

Qualifications

  • Several years of production Python work.
  • Experience deploying LLM applications with vector databases and agent frameworks.
  • Comfort with cloud platforms, containers, and enterprise concerns like identity and access management.

Responsibilities

  • Design and ship generative AI services and APIs in Python.
  • Own core platform architecture from proposal through production.
  • Build secure, scalable services around AI models and ensure reliability.

Skills

Python
LLM deployment
Vector DB
Agent frameworks
Kubernetes
Cloud platforms
IAM

Tools

Docker
APIs
IAM

Job description

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.

How it fits the AI era

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.

How it builds AI experience

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.

Worth showing
  • Cloud and Kubernetes
  • Enterprise security patterns

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Writer

Writer is an enterprise AI platform for building and supervising AI agents grounded in company data, per the company.

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