Senior Applied AI Engineer (AI)

Location: London, United Kingdom; hybrid work with at least three days per week in the office for team members based near key hubs

Company

hirify.global provides AI-powered identity intelligence and fraud prevention technology for commerce businesses, analyzing patterns across a network of more than 2 billion shoppers.

What you will do

• Embed with Sales, Marketing, Finance, HR, Legal, Procurement, and Customer Success teams to identify, scope, and prioritize high-impact AI opportunities.
• Act as both product manager and engineer, owning solutions from requirements gathering through deployment, adoption measurement, and iteration.
• Partner with business leaders to translate workflows and needs into engineering plans and AI transformation initiatives.
• Build and deliver AI enablement and training for non-R&D teams.
• Use shared infrastructure including MCP servers, RAG systems, evaluation frameworks, and guardrails.
• Measure and report on time saved, process improvements, AI adoption, and capability gains.

Requirements

• 7+ years of software engineering experience and a strong record of shipping production systems.
• Experience working directly with non-technical teams on technology-driven transformation.
• Exceptional communication skills across executive discovery, project briefs, presentations, and hands-on collaboration.
• Strong product instincts, with a focus on user problems, adoption, and measurable outcomes.
• Comfort with ambiguity, self-direction, and building priorities from business needs.
• Passion for LLMs, prompt engineering, and AI application patterns such as RAG, agents, and tool use.

Nice to have

• Leadership or central involvement in AI or digital transformation initiatives with measurable results.
• Experience in product management, solutions engineering, or technical consulting.
• Familiarity with CRM, ERP, BI, HRIS, and marketing automation ecosystems.
• Hands-on experience with agentic patterns such as Claude Code, MCP, or Strands Agents, plus RAG and evaluation frameworks.
• Experience building adopted internal AI tools or chatbots and delivering technical training programs.

Culture & Benefits

• Competitive salary and bonus plan.
• Restricted Stock Units and private health insurance with vision and dental coverage.
• Generous paid time off and half-day Fridays.
• Hybrid work model combining office collaboration with remote flexibility.
• Learning and development programs focused on AI tools, alongside cross-functional work and substantial autonomy.