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Applied AI Engineer - Production AI Systems for Industrial Workflows

United Kingdom
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AI Summary

Design and deploy production AI systems that automate complex operational processes in industrial sectors. Build LLM-powered features, document intelligence pipelines, and multi-step agent workflows with minimal process overhead. Requires strong Python engineering, LLM platform experience, and direct customer engagement.

Key Highlights
Early-stage startup backed by top-tier investors
AI-native workflows for aerospace, healthcare, manufacturing, and energy
Production AI systems beyond chatbot use cases
Direct customer problem solving and rapid iteration
Equity package and visa sponsorship available

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Key Responsibilities
Designing and deploying production-ready AI features across customer-facing products and internal workflows
Building and maintaining LLM-powered systems using structured outputs, tool/function calling, retrieval, and agent-based architectures
Developing evaluation frameworks to measure performance, detect regressions, and drive systematic model improvements
Working directly with customers to understand workflows, investigate failures, and continuously improve system reliability
Building document intelligence pipelines that extract and structure data from complex PDFs, forms, scans, and operational documentation
Designing orchestration layers that allow AI systems to execute multi-step workflows across multiple tools and data sources
Monitoring production performance and iterating rapidly based on real-world usage and customer feedback
Technical Skills Required
Python LLM platforms (OpenAI, Anthropic, Azure OpenAI) Prompt engineering Structured outputs Function/tool calling Model evaluation methodologies Agent workflows Document intelligence Backend services integration

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Benefits & Perks
Highly competitive salary
Meaningful equity package
Visa sponsorship available
Full relocation support to London
Daily meals and office perks
On-site working environment in central London
Direct access to experienced founders and senior technical leaders

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Nice to Have
Previous startup or founder experience
Exposure to founder ecosystems (Entrepreneur First, Y Combinator, Antler)
Experience building AI-native products from concept through to production deployment
Track record of thriving in ambiguous environments where ownership and initiative are expected

Job Description

Applied AI Engineer | ~£150K + Equity

London, UK

About the Company

This early-stage startup has recently closed a heavily oversubscribed seed round from top-tier technology investors and is now preparing for its Series A. It is building AI-native workflows that enable industrial sectors such as aerospace, healthcare, manufacturing, and energy to operate with the speed and efficiency traditionally associated with software businesses. Their platform combines large language models, document intelligence, and agentic workflows to automate complex operational processes that have historically depended on manual effort, fragmented systems, and unstructured data.

About the Role

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Job Overview
Posted Jun 12, 2026
Employment Full-time
Experience Mid-Senior level
Location United Kingdom
Category Programming
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