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AI Enablement Engineer

Hybrid Hyderabad Full time See experience in job description

Salary not disclosed

Posted 2w ago

Last seen in source 11 Nov 2026

Listing review date 22 Nov 2026 (not an application deadline)

Role Highlights & Quick Spec

Salary

Not disclosed

Experience

See experience in job description

Work Mode

Hybrid

Job Type

Full time

Location

Hyderabad

Education

Not specified

Openings

Not specified

Job Description

Keyloop is hiring a AI Enablement Engineer in Hyderabad. This is a full time role with hybrid work. Salary is not disclosed in the listing. The original listing was published on Keyloop and may include more detail about the shift, interview process and joining date. Confirm the salary, work mode and joining date directly with the employer before sharing any documents.

Keyloop bridges the gap between dealers, manufacturers, technology suppliers and car buyers.

We empower car dealers and manufacturers to fully embrace digital transformation. How? By creating innovative technology that makes selling cars better for our customers, and buying and owning cars better for theirs.

We use cutting-edge technology to link our clients’ systems, departments and sites. We provide an open technology platform that’s shaping the industry for the future. We use data to help clients become more efficient, increase profitability and give more customers an amazing experience. Want to be part of it?

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.

What You'll Bring

    Must-have

    • Min 4 Years of experience
    • Fluency in AI assisted and agentic software development

    • Strong, hands-on engineering background with genuine credibility pairing and mentoring other engineers on real technical problems.

    • Comfort mastering new, evolving AI capability early — often ahead of formal documentation or a fixed playbook.

    • A genuine interest in, and demonstrated ability to have a strong positive impact on the growth of others — through pairing, mentoring, coaching, or developer advocacy. This role is built around lifting other people up, not working heads-down in isolation; if that's not energizing to you, this isn't the right fit.

    • Ability to read a team's context and choose the right mode of engagement (direct vs. through a Champion) rather than applying one approach everywhere.

    • Experience working effectively across a distributed, multi-location engineering organisation.

    • Based in, or willing to work from, Hyderabad (India).


What You'll Do


    • Direct & Champion-Mediated Enablement: Provide hands-on technical support, training, and mentoring on Keystone's AI capability — working directly with a team or through its AI Champion, depending on context and champion maturity.

    • Champion Development: Build the technical capability of AI Champions so they can scale enablement within their own teams, multiplying Impost's reach beyond what a small central team could do alone.

    • Early Adoption ("Dogfooding"): Take ownership of real internal systems — as the test ground for Keystone's experimental new solutions before they reach any other team. Build with them, break them, and feed what you learn directly back into Keystone's own development, through early feedback or, where appropriate, hands-on contribution and pull requests.

    • Field Feedback & Cross-Pollination: Surface what works and what doesn't from real engagements; escalate unresolved technical friction to Keystone; spot effective practices in one team and help spread them to others.

    • Triage: Recognise when a team's blocker isn't a technical/AI problem, and surface it to the Enablement Workstream for routing — rather than trying to solve it yourself.

    • Community & Advocacy: Stay active in relevant AI communities of practice and forums as a natural part of the job; contribute technical content, demos, or talks as capacity allows.

    • AI Landscape & Continuous Learning 
      Proactively track developments in AI tooling and practices internally and externally. Bring relevant insights into the organisation and translate them into actionable enablement opportunities before they are asked for.


Nice-to-have:


    • A genuine interest in agile ways of working, and how they intersect with AI-driven change. You'll work closely with Agile Coaches on adoption that disrupts both what a team builds with and how a team works — the more fluently you can partner with them across both dimensions, the more effective that adoption becomes.

    • Prior experience in a platform, developer-experience, or enablement-focused engineering role.

Why join us?

We’re on a journey to become market leaders in our space – and with that comes some incredible opportunities. Collaborate and learn from industry experts from all over the globe. Work with game-changing products and services. Get the training and support you need to try new things, adapt to quick changes and explore different paths. Join Keyloop and progress your career, your way.

An inclusive environment to thrive

We’re committed to fostering an inclusive work environment. One that respects all dimensions of diversity. We promote an inclusive culture within our business, and we celebrate different employees and lifestyles – not just on key days, but every day.

Be rewarded for your efforts

We believe people should be paid based on their performance so our pay and benefits reflect this and are designed to attract the very best talent. We encourage everyone in our organisation to explore opportunities which enable them to grow their career through investment in their development but equally by working in a culture which fosters support and unbridled collaboration.

Keyloop doesn’t require academic qualifications for this position. We select based on experience and potential, not credentials.

We are also an equal opportunity employer committed to building a diverse and inclusive workforce. We value diversity and encourage candidates of all backgrounds to apply.

"At Keyloop, AI is a daily ally: We encourage and train every employee to use our AI tools to boost their creativity and productivity."

This job listing was originally published on Keyloop .

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