We’re hiring for an early-stage but fast-growing AI startup building a cloud-native analytics platform that turns large volumes of LLM output into structured, queryable intelligence for businesses and brands.
Their stack is fully on AWS, heavily event-driven, and designed for scale. They work with modern serverless and container-native infrastructure and actively use AI agents and automation across both engineering and product workflows.
We’re looking for a Software Engineer to help build and run the core data and infrastructure layer of our client’s platform.
What You’ll Be Doing
You’ll own large parts of our cloud and data platform, including:
Solid Docker and container-native deployment experience
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Python for data processing and automation
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Experience building data pipelines and data lake architectures
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Infrastructure-as-code (Terraform, CDK, or CloudFormation)
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CI/CD and production engineering mindset
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Systems thinking and comfort owning production workloads
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Curiosity about AI tools, LLMs, and automation
Why Join
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Real ownership of core infrastructure and architecture
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Work at the intersection of cloud, data, and applied AI
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Modern AWS stack, event-driven design, and production scale
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Small, senior team with high trust and low process
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Direct impact on a fast-growing AI product
Other Bits
We are open to considering Mid-Level & Senior Engineers looking to make an impact in an early-stage envronment; stated salary range of £60k - £70k is negotiable DoE.
*Please note, this is an on-site role in London; a few stops from Paddington