DUH – GTM Engineer for Future Customer Journey (AI)

Location: London; hybrid working with 2–3 days from the office depending on location. Work from abroad is available for up to 13 weeks per year.

Company

hirify.global is a Growth Invention company operating at the intersection of technology and marketing, delivering brand, media, experience, commerce, CRM, and technology and data services through more than 4,000 specialists.

What you will do

• Work with the Future of the Customer Journey core team to convert methodology into agentic components, prototypes, and internal tools.
• Collaborate with growth and strategy teams to understand client and market problems and deliver working solutions at prototype pace.
• Contribute to global client projects on a partially billable basis, implementing the firm-wide strategy consistently across markets.
• Collaborate with product and craft teams to document integration paths, maintain platform compatibility, and hand over validated components.
• Evaluate, adopt, and integrate new AI products from technology partners while maintaining an AI-native toolchain and sharing effective approaches across markets.

Requirements

• 5+ years of experience prototyping and shipping production-grade software, including deep command of Python or a similar core language and the ability to work across TypeScript, JavaScript, and React.
• Experience building applications with mainstream LLM model families including Gemini, GPT, and Claude.
• Experience connecting models to enterprise data and tools using retrieval-augmented generation and skills-based agent systems.
• Proficiency with APIs, authentication, data exchange, and cross-platform service integration.
• Experience developing agentic systems with LangChain, LangGraph, or equivalent orchestration frameworks.
• AI-native working practices, using AI tooling by default across coding, research, and delivery and adapting to tools used across different markets.

Nice to have

• Experience in forward-deployed engineering, customer engineering, solutions engineering, or applied AI within an agency, consultancy, or AI company.
• Experience presenting working software to strategists, clients, and other non-technical stakeholders and iterating on live feedback.
• Knowledge of OpenAPI, Model Context Protocol, or other emerging integration standards.
• Knowledge of paid media, social platforms, user behaviour, agentic commerce, or generative engine optimisation.
• Experience with evaluation, tracing, and observability for LLM applications.
• A demonstrated learning mindset and record of quickly adopting new AI products from technology partners.

Culture & Benefits

• Flexible hybrid policy with 2–3 office days depending on location and the opportunity to work abroad for 13 weeks per year.
• Learning courses and special programs tailored to individual development needs.
• Health support through OpenUp, gym and wellness discounts, and healthy office lunches.
• Lease-bike discount and an NS Business Card for commuting.
• Inclusive workplace with equal opportunity, reasonable-adjustment support, and a culture built around collaboration, curiosity, and execution.