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

Extend our existing suite: Take ownership of live AI tools and agentic workflows. Maintain and improve them as the business evolves.

Ship new solutions: Design and build new AI-powered tools end-to-end.

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.

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

Write production code: This is a developer role. Clean, maintainable code that other people can rely on.

APIs and integrations: Build and consume APIs, connect to third-party services, and ensure data flows reliably between systems.

Infrastructure: Deploy and manage tools in cloud environments with proper scheduling, monitoring, and error handling.

3. Collaboration & Problem Solving

Work cross-functionally: Sit with colleagues across the business to understand their pain points. Translate vague problems into concrete, buildable solutions.

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

Proficient in at least two of JavaScript/TypeScript, Java, and Python — and comfortable picking up the third

Comfortable with infrastructure-as-code and CI/CD pipelines

Solid Git workflow and GitHub practices: PRs, branching, code review

AI & Agentic Systems

Strong practical understanding of LLM prompting: system prompt design, chain-of-thought, structured outputs, prompt versioning

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

Aware of common failure modes in agentic systems: prompt injection, tool misuse, hallucinated tool calls, context window limits

Ways of Working

Self-directed: able to pick up an unfamiliar codebase, form a mental model of it, and start contributing without step-by-step guidance

Pragmatic about scope: ships working solutions rather than waiting for perfect ones

Nice to Have

Experience building and maintaining microservices architectures, including inter-service communication, data pipeline design, and API integration

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.

Exposure to LangChain, LangGraph, or similar orchestration frameworks

Understanding of RAG patterns and vector store integrations

Familiarity with e-commerce platforms: Amazon (Seller/Vendor Central), Shopify, or TikTok Shop

What We Offer

Hybrid working — 3 days per week in our Glasgow City Centre office

33 days annual leave with option to buy more

Commitment to personal and team development

Social and wellbeing activities

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"

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