Delta Engineer (AI)

TL;DR

Delta Engineer (AI): Bringing technical depth to complex enterprise engagements for an applied AI lab building end-to-end software agents, with an accent on architecting deployments, building integrations, and debugging critical issues. Focus on translating customer pain points into product direction and evolving the hirify.global platform.

Location: Hybrid in London, UK

Company

hirify.global is an applied AI lab building end-to-end software agents like Devin (the first AI software engineer) and Windsurf (the AI-native IDE), composed of a small, talent-dense team.

What you will do

• Operate across strategic accounts, providing technical depth on complex engagements.
• Own technical direction and success of customer accounts and deployments.
• Translate customer pain points into product direction, scoping requirements and defining solutions.
• Build product extensions and integrations using hirify.global’s APIs and platform.
• Architect and maintain complex enterprise deployments.
• Handle escalated technical issues requiring deep debugging or architectural judgment.

Requirements

• Strong engineering foundation.
• Track record of cross-functional operation, whether at a startup or by driving product/commercial thinking at a larger company.
• Proficiency in Python, TypeScript, or similar, with comfort navigating unfamiliar codebases.
• Experience scoping and shipping features in collaboration with product and engineering teams.
• Demonstrated track record of pursuing excellence at high levels, in any domain.

Nice to have

• Experience building software at companies known for engineering rigor.
• Track record in forward-deployed engineering, solutions architecture, or similar roles.
• Experience with enterprise infrastructure (cloud deployments, networking, security).
• Enjoy solving hard problems without obvious solutions and the autonomy to figure them out.
• High tolerance for ambiguity, intensity, and sustained effort.

Culture & Benefits

• Work in a small, talent-dense team focused on solving world's biggest problems and building AI.
• Opportunity to build AI that can reason on real-world tasks.
• Value technical depth, product instinct, and a builder mentality.
• Credibility with both internal and customer-side engineering teams.
• Comfort operating across many contexts simultaneously.