Software Development Engineer II (AI)

Location: London, City of, United Kingdom

Company

hirify.global is a global travel company operating consumer brands, a B2B travel network, and travel advertising businesses.

What you will do

• Design, develop, test, and maintain reliable software solutions across the full software development lifecycle.
• Apply system design, low-level design, API design, and data modelling to build scalable analytics services and product capabilities for people and AI agents.
• Translate business and analytical requirements into technical solutions with engineers, product managers, analysts, and stakeholders.
• Diagnose complex technical issues, improve performance and reliability, and contribute to monitoring, testing, and continuous improvement.
• Integrate and operate AI/ML-enabled solutions using certified metrics and verify outputs for accuracy.
• Build and rapidly validate conversational analytics, natural-language-to-SQL, automated insight summaries, and self-service decision tools.

Requirements

• Bachelor’s degree in Computer Science, Data Science, a related technical field, or equivalent practical experience.
• At least 2 years of professional software development experience delivering production-quality applications or services.
• Experience owning and delivering features or services in an analytics, data, or product engineering domain, including implementation, testing, troubleshooting, and maintenance.
• Proficiency in programming, version control, automated testing, API development, data modelling, and system design.
• Ability to take unclear problems from idea to a working, reliable solution and collaborate with technical and non-technical teams.
• Foundational understanding of analytics and data, including metrics, data modelling, and how people use data to make decisions.
• Hands-on experience with AI-assisted development tools and reviewing generated code for correctness, security, and maintainability.

Nice to have

• Experience building and operating analytics products or data-intensive services at scale, with attention to performance, availability, and maintainability.
• Experience contributing to architecture and technical design decisions within a service or multi-service product area.
• Experience with observability, automation, testing, and continuous delivery practices.
• Ability to use data and product signals to evaluate technical outcomes and guide engineering decisions.
• Exposure to AI/ML products or workflows involving agents, large language models, retrieval-augmented generation, or MCP tools, including safe production integration, evaluation, or operation.
• Understanding of analytics user experience, including uncertainty display, metric citation, and explaining changes.
• Experience with front-end or full-stack development and interactive user-facing products.

Culture & Benefits

• Work in short cycles: build, put products in front of users, and turn successful ideas into reusable capabilities.
• Collaborate across engineering, product, analytics, and other stakeholder groups.
• Work in an inclusive and accessible recruiting environment with accommodation support available during hiring.
• Employment is full-time and regular.