AI Product Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff AI Product Engineer based in United Kingdom.

We are looking for an experienced AI Product Engineer to shape and lead the development of a next-generation AI product ecosystem for business operations. In this hands‑on, high‑impact role, you will own the architecture and technical direction of production‑grade agentic systems, from multi‑agent orchestration and Model Context Protocol (MCP) integrations to contextual memory and evaluation frameworks. You will transform complex business data into intelligent, actionable experiences that help companies automate workflows and make better decisions.

Working closely with engineering leadership, product teams, and customers, you will influence the technical roadmap and establish engineering standards across the organization. This is an opportunity to work at the forefront of enterprise AI in a fast‑moving, profitable startup environment that values experimentation, technical ownership, and practical innovation. You will have the autonomy to explore emerging technologies, challenge existing approaches, and bring ambitious AI products into production.

• Lead the architecture, design, and development of a production-grade multi-agent system capable of safely executing actions across core business tools, including ERP, CRM, spreadsheets, calendars, email, analytics, and compliance platforms.
• Own the development and continuous improvement of Model Context Protocol (MCP) integrations that connect internal business systems with external AI environments and assistants.
• Design and implement a unified data infrastructure that consolidates information from multiple sources into a centralized layer accessible to AI agents and external tools.
• Build contextual memory and customer profiling systems that ingest business data and enable increasingly personalized, intelligent AI experiences.
• Establish robust reliability, observability, permission management, and durable execution mechanisms to ensure agents operate safely on real customer data.
• Develop and maintain comprehensive evaluation frameworks and automated tests based on real-world customer use cases to measure agent performance and prevent regressions.
• Define architectural standards, engineering patterns, and best practices for building, testing, deploying, and maintaining agentic systems across the engineering organization.
• Stay ahead of developments in AI models, agentic frameworks, orchestration tools, and emerging technologies, incorporating valuable innovations into the product architecture.
• Rapidly prototype new AI capabilities and present technical concepts and product opportunities to internal teams and customers.
• Work hands‑on with AI-assisted development tools such as Claude Code, continuously improving personal engineering workflows and sharing effective practices with the wider team.
• Collaborate closely with engineering leadership, product teams, and customers to shape the AI roadmap, prioritize initiatives, and translate business challenges into impactful technical solutions.
• Provide technical mentorship and influence engineering direction while maintaining a strong focus on execution, product quality, and measurable customer outcomes.

• At least 7 years of full-stack software development experience, ideally building and scaling B2B SaaS applications.
• Proven, hands‑on experience designing and deploying production‑grade multi‑agent systems, beyond experimental prototypes or personal projects.
• Demonstrated experience building and maintaining MCP servers or integrations used in production environments.
• Strong understanding of production engineering…