MyTender.io is changing how enterprise teams win tenders.We’re an AI-powered bid management platform helping teams across waste, facilities services, construction and utilities create stronger tender submissions, fasterThe product supports bid writing, analysis, collaboration, content retrieval and wider process management. However, the real value sits within the AI agent that connects these workflows.Founded in 2023, we’ve grown to 12 people, now support 40+ customers and have helped them win over £1.4b in contracts through the platform. Following recent seed backing from Fuel Ventures, we’re investing further into the product and engineering teamWe’re now hiring a Senior AI Engineer to take meaningful ownership of the agent that sits at the centre of the platformYou might currently be an AI Engineer, Applied AI Engineer, Senior Product Engineer or Founding Engineer. Titles matter less than the work you’ve done, but you’ll need to bringExperience shipping customer-facing AI or LLM products into productionStrong Python engineering experience, alongside the ability to work across a wider product stackA clear, structured approach to solving unfamiliar technical problemsGenuine curiosity around agent frameworks, models and new approaches within applied AIThe judgement to balance fast iteration with reliability, quality and maintainable systemsStrong communication and the confidence to challenge ideas constructivelyAbout the RoleOur AI agent is the core of MyTender, powering how our customers write, analyze, and manage complex enterprise bids. We aren't just connecting APIs; we are building a high-impact intelligence layer that is central to every customer workflowAs our Senior AI Engineer, you will own and evolve our agent architecture. This role goes beyond model-tuning; you'll work across our full stack, including Python backend services and React/TypeScript interfaces, to ship features that are reliable, useful, and responsive. We need a builder who is comfortable owning the full customer experience, not just the model layer, to transform how enterprise teams workSuccess Means0–30 days: You are up to speed on our product workflows, shipping initial improvements, and identifying key technical opportunities30–60 days: You are owning core features of the agent, improving performance metrics, and shipping impactful updates to production6 months+: You have significantly advanced the quality and reliability of our AI, setting the technical direction for applied AI at MyTenderOwn and Advance the AI AgentTake technical ownership of our agentic AI architecture and its continued developmentBuild new tools, skills and workflows that give the agent broader and more useful capabilitiesImprove the agent harness, orchestration and decision-making across complex bid workflowsImprove AI Quality and PerformanceBuild practical evaluation and measurement into the development processDevelop ways to understand where the agent performs well, where it fails and how changes affect qualityImprove context engineering, retrieval, bid-level memory and organisation-level memoryShip Across the ProductBuild and maintain production Python services supporting AI and product workflowsContribute to polished React and TypeScript product experiences where requiredDevelop streaming interfaces and context-aware AI features that feel responsive and straightforward to useYou have strong commercial software engineering experience, likely gained over at leaYou have shipped customer-facing AI, LLM or agentic products into productionYou are a strong Python engineer and can build reliable production services, not just prototypes or notebooksYou are comfortable contributing to React and TypeScript applications when the product requires itYou have worked with areas such as agents, tool use, RAG, retrieval, context engineering, memory or AI evaluationIt would also be useful if you haveExperience as a founding or early-stage engineerBuilt an AI product or technical project from scratchWorked with LangChain, Deep Agents, OpenAI or Anthropic modelsShipped AI systems used by a meaningful number of customersPersonal AI or engineering projects that show genuine technical curiosityGenuinely competitive salary (full details to be shared during first stage)Meaningful pre-Series A equity optionsDirect access to customers, founders and product decisionsSignificant ownership over a product area that is central to the company’s valueThe ability to ship regularly and see the effect of your work quicklyInitially remote, moving towards a London hybrid setup once we our work quicklyExpected office attendance of around two to three days per week once the London office is establishedIntroductory video call with our Talent Partner (Matt)Problem-solving conversation with Jamie, our Co-Founder and Product Lead, and our Founding Engineer.Project and code walkthrough with our Founding EngineerFinal conversation with our Founding TeamWe aim to keep the process focused, move quickly between stages and make a decision within two weeks.
#J-18808-Ljbffr
Senior AI Engineer in London
