Senior AI Engineer

My Tender. 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, faster.

The 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.

Rather than offering another generic writing tool, we’re building an intelligence layer designed specifically around how complex enterprise bid teams work.

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 team.

We’re now hiring a Senior AI Engineer to take meaningful ownership of the agent that sits at the centre of the platform.

You 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 bring

• Experience shipping customer-facing AI or LLM products into production
• Strong Python engineering experience, alongside the ability to work across a wider product stack
• A clear, structured approach to solving unfamiliar technical problems
• Genuine curiosity around agent frameworks, models and new approaches within applied AI
• The judgement to balance fast iteration with reliability, quality and maintainable systems
• Strong communication and the confidence to challenge ideas constructively

About the Role

Our AI agent is the core of My Tender, 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 workflow.

As 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/Type Script 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 work.

Success Means

0–30 days : You are up to speed on our product workflows, shipping initial improvements, and identifying key technical opportunities

30–60 days : You are owning core features of the agent, improving performance metrics, and shipping impactful updates to production

6 months+ : You have significantly advanced the quality and reliability of our AI, setting the technical direction for applied AI at My Tender

• Own and Advance the AI Agent
• Take technical ownership of our agentic AI architecture and its continued development
• Build new tools, skills and workflows that give the agent broader and more useful capabilities
• Improve the agent harness, orchestration and decision-making across complex bid workflows
• Improve AI Quality and Performance
• Build practical evaluation and measurement into the development process
• Develop ways to understand where the agent performs well, where it fails and how changes affect quality
• Improve context engineering, retrieval, bid-level memory and organisation-level memory
• Ship Across the Product
• Build and maintain production Python services supporting AI and product workflows
• Contribute to polished React and Type Script product experiences when required
• Develop streaming interfaces and context-aware AI features that feel responsive and straightforward to use
• You have strong commercial software engineering experience, likely gained over at lea
• You have shipped customer-facing AI, LLM or agentic products into production
• You are a strong Python engineer and can build reliable production services, not just prototypes or notebooks
• You are comfortable contributing to React and Type Script applications when the product requires it
• You have worked with areas such as agents, tool use, RAG, retrieval, context engineering, memory or AI evaluation
• It would also be useful if you have
• Experience as a founding or early‑stage engineer
• Built an AI product or technical project from scratch
• Worked with Lang Chain, Deep Agents, Open AI or Anthropic models
• Shipped AI systems used by a meaningful number of customers
• Personal AI or engineering projects that show genuine technical curiosity
• Genuinely competitive salary (full details to be shared during first stage)
• Meaningful pre‑Series A equity options
• Direct access to customers, founders and product decisions
• Significant ownership over a product area that is central to the company’s value
• The ability to ship regularly and see the effect of your work quickly
• Initially remote, moving towards a London hybrid setup once we we our work quickly
• Expected office attendance of around two to three days per week once the London office is established

We aim to keep the process focused, move quickly between stages and make a decision within two weeks.

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