H

Forward Deployed Engineer (AI Startup)

HUG • United Kingdom
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Join a fast-growing AI startup as a Forward Deployed Engineer in Shoreditch, London. This role involves deep customer engagement, transforming real-world workflows into software, and owning the engineering lifecycle from idea to production. Requires 3-6 years of full-stack engineering experience, strong Python, and comfort with ambiguity.

Key Highlights
Build and ship production software from your first week.
Work directly with customers and founders, owning features end-to-end.
Significant autonomy and opportunity for technical leadership in an early-stage company.
Key Responsibilities
Sit directly with customers and understand how their teams actually work.
Turn messy real-world workflows into software.
Own the engineering from idea to production.
Build and ship production software.
Work directly with customers and founders.
Own features end-to-end across frontend, backend, data and AI/model layers.
Work on AI-powered workflows involving document intelligence, technical review, inspection and complex operational processes.
Technical Skills Required
Python Full-stack engineering Frontend development
Benefits & Perks
£100,000–£160,000 salary
Meaningful equity
Visa sponsorship available
Nice to Have
Experience building and shipping real production systems
Comfortable working directly with customers and non-technical stakeholders
Enjoys ambiguity, moves quickly and can take a problem from zero → shipped product
Strong engineering pedigree - experience at a high-quality startup, scale-up or engineering-led company is ideal
Founding engineer, early-stage startup or Forward Deployed experience is a major plus

Job Description

🚀 Forward Deployed Engineer - London

I’m working with a fast-growing, venture-backed AI startup that is hiring several Forward Deployed Engineers to join its engineering team in Shoreditch.

This is not a traditional FDE role where you spend your time configuring software or writing integrations.

You’ll sit directly with customers, understand how their teams actually work, turn messy real-world workflows into software, and own the engineering from idea → production.

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