AI Engineer

🕒 April 23

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

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👻 Ghost score 55%

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Logo of Thrive

Thrive

201 - 500 employees

Founded 2018

📚 Education

☁️ SaaS

🤝 B2B

Education • SaaS • B2B

Thrive is the industry's fastest-growing learning technology company that provides a modern, all-in-one learning experience platform used by millions of users and large enterprise customers. The company offers SaaS-based products and services to help organisations deliver training and development at scale, serving recognizable brands and operating across multiple countries with both remote and hybrid teams.

📋 Description

• Design and build AI-powered features and infrastructure for Thrive’s enterprise learning platform • Build and ship AI-powered features end-to-end from prototype through production deployment • Design and implement integrations with LLMs and AI services, including tool use, agents, and orchestration patterns • Develop and maintain reliable, scalable backend services and APIs for AI features in a multi-tenant environment • Collaborate with Product, Design, and Engineering to identify meaningful AI improvements and turn ideas into production features • Contribute to internal tooling, developer experience, and knowledge sharing around AI development practices • Stay current with the fast-moving AI field and help make pragmatic technology choices • Focus on intuitive, fast, and genuinely useful learner experiences at enterprise scale

🎯 Requirements

• Practical experience building software with LLMs, including LangChain, LlamaIndex, Semantic Kernel, or direct API integration with providers such as OpenAI or Anthropic • Strong backend development skills, ideally with TypeScript/Node.js • Comfort working across the stack, including wiring up React components when needed • Familiarity with REST APIs, async patterns, and databases such as MongoDB or PostgreSQL • General understanding of how modern software is built, tested, and deployed • Genuine curiosity about AI and experience experimenting with new tools and techniques • Ability to create quick prototypes and productionise them when necessary • Understanding of AI-driven development to write, test, and deploy high-quality codebases • Experience with Model Context Protocol (MCP) or similar tool-use/agent protocols is desirable • Familiarity with AWS services including Lambda, SQS/SNS, SageMaker, Bedrock, and S3 is desirable • Experience with vector databases, embeddings, or retrieval-augmented generation (RAG) patterns is desirable • Understanding of prompt engineering, evaluation, and practical LLM reliability challenges is desirable • Familiarity with Docker, ECS, and CI/CD pipelines is desirable • Experience building in a multi-tenant B2B SaaS environment is desirable • Knowledge of AI safety, governance, or responsible AI practices is desirable

🏖️ Benefits

• Unlimited Holiday to support work-life balance • Thrivedays—a reduced workday every Friday (10:00–15:00), with no internal meetings • Flexible Working Hours within core hours (10:00–16:00) • Birthday & Christmas Off, including festive shutdown between Christmas & New Year • Work From Anywhere—fully remote-friendly (4 weeks a year) • Health Cash Back Plan with Health Shield • Employee Assistance Program for confidential support • Financial support program via Maji • Salary Sacrifice Pension Scheme • Death in Service (4x annual salary) • Green Car Scheme through salary sacrifice • Cycle to Work Scheme—save up to 42% on a new bike • Perks at Work—30,000+ national & local employee discounts via CharlieHR & Health Shield

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