Engineering Manager (AI)

Location: London, UK; hybrid, with office collaboration three days per week for most roles

Company

hirify.global is an AI and technology upskilling platform that delivers apprenticeships and learning programs to more than 1,500 companies.

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 full-stack teams building AI-heavy assessment services, RAG pipelines, LLM-scored assessments, and customer-facing learning recommendation products.
• Guide the migration of Diagnose & Prescribe logic from a shared legacy monolith into dedicated services while scaling the newer AI-native product.
• Coach, hire, and develop engineers; establish growth plans and a high-performing AI-native operating rhythm.
• Stay hands-on through distributed-system design, RabbitMQ event schemas, API contracts, architecture reviews, and production coding.
• Partner with Product, Design, and go-to-market teams to turn learner and customer behavior into technical direction, while managing delivery metrics including cycle time, change failure rate, and MTTR.

Requirements

• Experience managing engineering teams building and operating production software, with sufficient technical depth to review architecture and challenge design.
• A team led by the candidate must have shipped and operated AI features for real users.
• Strong Python and TypeScript experience; candidates without TypeScript must be able to learn it.
• Experience with React/Next.js, including App Router, RSC, and server actions, plus tRPC or GraphQL and Node/Express.
• Experience operating PostgreSQL at scale through an ORM, including disciplined migrations on large, live schemas.
• Experience with event-driven systems and message buses, including RabbitMQ, versioned events, idempotency, and backward-compatible migrations.
• Engineering maturity across typing, testing, feature flags, ADRs, CI/CD, and observability.
• Practical AI-native delivery experience with tools such as Claude Code or Cursor, including context management, model selection, tool design, and token economics.
• Experience with GTM or acquisition funnels, accessibility and UX on learner-facing products, and working across legacy monoliths and greenfield products using the strangler pattern.

Nice to have

• Experience with Python and Elixir services, RAG pipelines, Claude-powered products, GitHub, CircleCI, and Datadog.

Culture & Benefits

• High-agency environment focused on outcomes rather than prescribed playbooks, with ownership shared between the manager and team.
• Kindness, candour, curiosity, and transparent communication are valued over hierarchy; micro-management is rejected.
• 27 days of holiday plus five additional days off, including life-event, volunteer, and company-wide wellbeing days, alongside bank holidays.
• Private medical insurance, medical cashback, life insurance, gym membership, Wellhub wellness resources, and Spill mental-health support.
• Work-from-anywhere option for up to 10 days per year, in addition to the regular hybrid arrangement.

Hiring process

• Roles involving Regulated Activity require an Enhanced DBS check, including Children’s Barred List and Prohibition Order checks.
• Applicants for regulated roles must declare convictions, cautions, reprimands, and final warnings where required under the applicable safeguarding process.