AI Engineering Manager

Location: London, UK; hybrid, with 3 days a week in the office. The role includes up to 10 days per year working from anywhere.

Company

hirify.global is an AI adoption and adaptive learning company helping organisations develop workforce AI capability through apprenticeships and the Mastry platform.

What you will do

• Own delivery, technical direction, and team health across the Diagnose & Prescribe service estate, covering diagnosis, prescription, eligibility, recommendation, onboarding, and growth tracking.
• Lead AI-heavy diagnosis and needs-assessment services using retrieval-augmented generation and LLM-scored assessment.
• Build and evolve eligibility, prescription, recommendation, and onboarding products with financial and regulatory impact.
• Continue extracting D&P logic from the shared legacy monolith into dedicated services while scaling the AI-native product.
• Hire, coach, and develop engineers; establish a high-performing, AI-native operating rhythm and improve delivery predictability using cycle time, change failure rate, and MTTR.
• Stay hands-on by designing distributed systems, reviewing RabbitMQ event schemas and API contracts, writing production code, and partnering with Product, Design, and go-to-market.

Requirements

• Experience managing full-stack engineering teams shipping production software, with sufficient technical depth to review architecture and challenge design.
• A team previously led has shipped and operated AI features for real users.
• Strong Python and TypeScript skills; willingness to learn TypeScript if it is not already held.
• Experience with React and Next.js, including App Router, RSC, and server actions, plus tRPC or GraphQL and Node/Express.
• Experience with PostgreSQL at scale through an ORM and disciplined migrations on large, live schemas.
• Experience with event-driven systems on a message bus, including RabbitMQ, versioned events, idempotency, and backward-compatible migration.
• Engineering maturity covering typing, testing, feature flags, ADRs, CI/CD, and observability.
• Practical AI-native delivery using tools such as Claude Code or Cursor, including context management, model selection, tool design, and token economics for production systems.
• The role requires staying involved in systems, design, and code, renegotiating incorrect scope openly, and treating AI tooling as a fundamental change in team operations.

Nice to have

• GTM or acquisition-funnel experience involving customer onboarding and eligibility.
• Experience working pragmatically with a legacy monolith alongside a greenfield edge-native product.
• Accessibility and UX experience on learner-facing surfaces.

Culture & Benefits

• High-agency environment focused on outcomes rather than prescribed playbooks, with autonomy over how the team delivers.
• Kindness, candour, curiosity, and low-management culture, with regular calibration alongside engineering manager peers.
• 27 days of holiday including winter shutdown days and bank holidays, plus five additional days for life events, volunteering, and summer shutdown.
• Bupa private medical insurance, medical cashback, therapy, gym access, life insurance, pension contributions, family leave, and workplace nursery support.
• Permanent employees receive share options; additional benefits include Cycle to Work, Tech Scheme, team socials, and office refreshments.
• Successful applicants must complete at least a Basic DBS check; roles involving Regulated Activity also require Enhanced DBS checks and related declarations.