Top Tech Jobs & Startup Jobs in London

Lead design and delivery of production AI agent systems end-to-end: architecture, context/retrieval strategies, tool integrations, evaluation pipelines, and full-stack implementation. Drive technical direction, mentor engineers, and use Claude Code as the primary development workflow to embed AI across the company.

Lead architecture and delivery of production multi-agent AI systems: agent orchestration, context strategy, tool integrations, evaluation pipelines, cost engineering, and platform integrations. Ship end-to-end agentic features, set organisation-wide engineering patterns, mentor engineers, and collaborate across product, design, compliance, and engineering teams.

Own AP and procurement end-to-end, act as system owner for Ramp and Omnea, drive automation and AI-powered process improvements, support M&A integrations and multi-currency payments, implement risk-based internal controls, analyse transactional data for efficiency, and support month-end close and stakeholder queries.

Deliver technical workshops and drop-in sessions teaching how AI solves business problems. Facilitate sessions, assess assignments, coach apprentices, coordinate with coaches and operations, maintain quality standards, and stay current with AI tools and curriculum to drive apprentice impact.

The AI Portfolio Lead will develop AI product offerings, analyze market trends, manage curriculum, and ensure high-quality learning experiences while influencing policies and stakeholder engagement.

The Data Product Owner will design and manage analytics products, driving product delivery, optimizing architectures, and collaborating with stakeholders to meet business needs.

As a Senior Software Engineer at Multiverse, you'll build production systems, lead technical initiatives, and enhance AI-driven education solutions. You'll collaborate with a startup-like team focused on creating scalable user-focused features while maintaining high coding standards.

The role involves driving new business opportunities with enterprise clients, using a comprehensive sales approach, and collaborating with teams to deliver ROI assessments.

As a Senior Engineer in AI Adoption, you will architect scalable systems, build CI/CD infrastructure, manage AWS workloads, and lead the development team in delivering high-quality tech solutions.

The role focuses on building an operational engine for coach deployment, managing analytics, and interfacing with finance and delivery teams for effective resource allocation.