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Full job description
AI Software Engineer
Job Specification · Trtl (Coolside Limited) · Hybrid — Glasgow City Centre
About Trtl
Trtl is a travel accessories brand based in Glasgow City Centre, Scotland. With over two million customers worldwide, we make travel easier — starting with our hero product, the Trtl Travel Pillow, reinvented from the ground up to solve a problem no one had properly fixed.
We are a small, ambitious company that punches well above its weight — around £30M in annual revenue, selling across Amazon, Shopify/DTC, and TikTok Shop in the UK, US, and internationally. We have a clear ambition to scale to £50M+ and AI is central to how we get there.
We have been building AI-powered tools and workflows into the business for two years. AI is already core to how we operate. This role exists to accelerate that — materially and measurably.
About the Role
We are looking for a Mid-Level AI Software Engineer — someone with strong software development foundations and growing hands-on experience with agentic AI systems.
You will work directly within our technology team, reporting to our Head of AI. You will help build, extend, and maintain a growing ecosystem of AI-powered tools and integrations already live across the business — working closely with colleagues in marketing, operations, customer support, and finance to turn real problems into working solutions.
We do not expect you to have shipped production-grade agentic systems at scale. We do expect you to understand how they work, to have built with LLMs in earnest — whether in a commercial setting or your own projects — and to be ready to grow fast in an environment that takes this seriously.
If you want to learn what AI-native commerce looks like in practice and have the engineering foundations to contribute from day one, this role is for you.
What You Will Do
1. Build & Maintain AI-Powered Tools
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Extend our existing suite: Take ownership of live AI tools and agentic workflows. Maintain and improve them as the business evolves.
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Ship new solutions: Design and build new AI-powered tools end-to-end.
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Integrate AI models: Work with large language models to power tools — classification, summarisation, structured generation, and decision support. We use Claude (Anthropic) as our primary model.
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Contribute to agentic systems: Help build and extend agentic workflows where AI takes actions, calls tools, and operates with varying degrees of autonomy.
2. Software Development
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Write production code: This is a developer role. Clean, maintainable code that other people can rely on.
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APIs and integrations: Build and consume APIs, connect to third-party services, and ensure data flows reliably between systems.
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Infrastructure: Deploy and manage tools in cloud environments with proper scheduling, monitoring, and error handling.
3. Collaboration & Problem Solving
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Work cross-functionally: Sit with colleagues across the business to understand their pain points. Translate vague problems into concrete, buildable solutions.
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Communicate clearly: You will regularly work with non-technical colleagues, being able to translate business requirements into technical solutions is important.
What We’re Looking For
Core Engineering
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Proficient in at least two of JavaScript/TypeScript, Java, and Python — and comfortable picking up the third
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Comfortable with infrastructure-as-code and CI/CD pipelines
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Solid Git workflow and GitHub practices: PRs, branching, code review
AI & Agentic Systems
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Strong practical understanding of LLM prompting: system prompt design, chain-of-thought, structured outputs, prompt versioning
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Working knowledge of MCP (Model Context Protocol) — ideally you have built or consumed MCP servers and understand the client/server model and tool schema design
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Aware of common failure modes in agentic systems: prompt injection, tool misuse, hallucinated tool calls, context window limits
Ways of Working
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Self-directed: able to pick up an unfamiliar codebase, form a mental model of it, and start contributing without step-by-step guidance
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Pragmatic about scope: ships working solutions rather than waiting for perfect ones
Nice to Have
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Experience building and maintaining microservices architectures, including inter-service communication, data pipeline design, and API integration
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Hands-on experience building agentic AI systems — not just calling LLM APIs, but designing multi-step agents, handling tool use, managing context, and reasoning about failure modes. Personal projects count.
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Exposure to LangChain, LangGraph, or similar orchestration frameworks
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Understanding of RAG patterns and vector store integrations
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Familiarity with e-commerce platforms: Amazon (Seller/Vendor Central), Shopify, or TikTok Shop
What We Offer
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Hybrid working — 3 days per week in our Glasgow City Centre office
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33 days annual leave with option to buy more
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Commitment to personal and team development
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Social and wellbeing activities
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Real ownership of AI work at a fast-growing brand — with commercial stakes and the autonomy to deliver
Trtl (Coolside Limited) · Glasgow, Scotland · trtl.com · “Never a passenger — always a wide awake explorer”