- Location
- India (Hyderabad)
- Workplace
- Hybrid
- Department
- Engineering
- Source
- Lever
Description
The Opportunity
Keyloop is in the middle of an AI-enabled transformation, driven by the AI Empowered Programme — a board-mandated effort to lift AI maturity across our ~80 Product & Engineering teams. Two teams sit at the heart of it: Keystone, which builds the underlying AI capability and technical pathways, and Impost, which enables teams to adopt that capability hands-on.
We're looking for an highly motivated AI Enablement Engineer to join Impost and help our engineering teams put Keystone's AI capability to real, effective use. The primary mode of engagement is through a team's AI Champion — coaching, mentoring, or pairing with them to drive sustained, long-term change. You'll also work directly with teams for shorter periods to help resolve specific technical challenges, or gain the kind of deep, first-hand insight that's only visible from inside a team's day-to-day work and feeding it back into the programme.
This is a hands-on software engineering role, not an "engineer who used to code." You'll sit on the frontline of AI-driven development lifecycle innovation at Keyloop — as part of the Impost team, you'll be the first adopter team for Keystone's experimental new solutions, taking ownership of real internal systems as genuine test grounds. You'll contribute directly to Keystone's solutions — sometimes through early feedback on what's rough or missing, sometimes through hands-on contribution and pull requests.
Keyloop itself is a dual-speed technology organization: a large, successful DMS heritage business running on established platforms built up over decades, alongside Fusion — a modern, cloud-native Automotive Retail Platform built on AWS, event-driven domain services. You won't need to master every technology across that estate yourself — each team owns its own stack, and that expertise stays with them. Your focus is AI: helping teams leverage Claude Code, skills, agents, and Keystone's recommended solutions effectively, whatever stack they happen to be working in.