AI Enablement Engineer

What You'll Bring

What You'll Do

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. "

Qualifications

• 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, Oulu, Finland or Ho Chi Minh City, Vietnam.
• 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 — starting with the OEM TTV Dashboard — 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.
• 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.

Responsibilities

• 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 — starting with the OEM TTV Dashboard — 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.
• 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.