Stackone

AI Engineer

10mo ago
EuropeRemote
Stackone

AI Engineer

10mo ago
EuropeRemotellmaiintegrationsoftware engineering

Engineer AI production-grade applications and deliver AI features and products end-to-end, working with large language models.

Responsibilities

  • You'll help build a world where users of any agents can integrate with the tool of their choice in one click thanks to StackOne.
  • We are looking for a Software Engineer with a strong background in AI production-grade applications with professional experience working with LLMs (eg: GPT, Anthropic and others).
  • In this role, you will deliver AI features and products end-to-end and work with the wider AI team of StackOne (comprising of AI researchers and other AI engineers). You will report directly to the CTO.
  • Act as a full-stack engineer : design, build, and ship features across frontend, backend, and infrastructure.
  • Leverage AI models to accelerate development , while maintaining best-in-class reliability, testing, and code quality.
  • Build and maintain inference pipelines, embeddings, retrieval, and orchestration systems .
  • Integrate tool-calling and MCP (Model Context Protocol) patterns into product features.
  • Ship and maintain open-source or internal TypeScript/Python packages .
  • Work with AWS and/or Cloudflare to deliver scalable, secure, low-latency systems.
  • Collaborate with product and design to deliver features end-to-end.

Requirements

  • Proven experience as a full-stack engineer .
  • Expertise in TypeScript and/or Python .
  • Strong background in building on AWS and/or GCP and/or Cloudflare .
  • Experience building and shipping TypeScript/Python packages .
  • Familiarity with tool-calling, agent frameworks, and MCP .
  • Track record of shipping production systems with high code quality and reliability.
  • Curiosity to push the boundaries of what AI-powered development can deliver.
  • Past experience with Generative AI/LLMs and related technologies/frameworks
  • Desire to work in a fast-paced startup, taking ownership of projects e2e and bias towards shipping.
  • (Preferred): Experience working on/publishing CLIs & SDKs

Conditions

  • Meaningful share options (EMI) - share in the company's success as we grow
  • 25 days holiday + 1 additional day per year of tenure
  • Private health insurance - including dental & optical
  • £15/day lunch budget when working from our London office, up to £120/month
  • £1,000 for your home office set up + £500/year top-up
  • Annual team offsite to sunny spots (last ones were in Spain and Portugal ☀️)
  • Join one of Europe’s fastest-growing startups
  • Work with a veteran team of ex-employees of Google, Microsoft, Oracle, Coinbase, JP Morgan and more
  • Health, fitness and gift card discounts
  • Cycle2Work and Electric Cars scheme
  • Hybrid working friendly - typically 2 days/week in our London office. We’re open to discussing flexible arrangements—please share any preferences in your application
  • Ready to help us change the game for SaaS integrations? Get in touch and let's chat!
  • We believe diversity drives innovation. We encourage individuals from all backgrounds to apply. As an equal-opportunity employer, we celebrate diversity and are committed to creating an inclusive environment for all employees.

Other

  • StackOne is the AI Integration Gateway for SaaS products and AI Agents. Backed by GV and Workday Ventures ($24M raised), we help builders of SaaS platforms and AI Agents orchestrate hundreds of scalable, accurate, and enterprise-grade integrations. Our platform combines 25,000 pre-mapped actions on 200 connectors, an AI-powered integration development toolkit, plus security by design: a real-time architecture, managed authentication and permissions, and end-to-end observability.
  • Join us on our fast trajectory to build the future of agentic integrations.
  • With an AI-native integration toolkit that delivers real-time execution, managed authentication, granular permissions, and full observability, all built with safety at its core, we’re now doubling down on AI R&D & creating our own lab to push the boundaries of tool calling for agents: training specialized LLMs designed to outperform general-purpose models in what matters most: precision, reliability, and safety in agentic execution.