AppliedAIEngineer

HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world’s most innovative companies to build strong engineering teams ready for what’s next. Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills. People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards About the Role For decades, every fast-moving company has been held back by smart people doing manual, repetitive work that should not require smart people. You will be part of a team whose job is to make every team at HackerRank - from Go-To-Market to Finance to Product - dramatically more effective, by building AI agents, automations, and platform capabilities that eliminate the work that should not be manual in the first place. Most engineering roles put you deep inside one product surface. This one puts you across the whole company. In a given month you might be building a data analytics agent that answers ad-hoc product questions in Slack, writing an MCP connector that gives AI agents access to internal tooling, or designing the eval harness that lets the team ship agent changes without regressions. What you’ll do Embed with internal teams - from Marketing to Product to Finance - to map workflows and identify the real bottlenecks which can be impacted by AI. Scope, prototype, and ship AI agents and automations that eliminate high-leverage manual work across the company. Own agents end-to-end after launch: monitor quality, triage failures, review outputs, and iterate based on real usage data. Design and build the shar