AI Enablement Engineer

About the Position

We are looking for an experienced AI Enablement Engineer to accelerate the adoption of AI-assisted software development within our internal engineering organization. In this role, you will help development teams effectively integrate AI assistants and AI-powered tooling into their daily workflows with a strong focus on practical adoption, engineering productivity, quality, and responsible AI usage. You will work closely with software engineers and technical leaders to identify opportunities where AI can improve development processes, introduce effective AI-assisted development practices, and establish standards, patterns, and guardrails for using AI across the engineering lifecycle. The role combines strong technical understanding with communication, mentoring, coaching, and change management skills. You will act as an AI enabler within the development organization, helping teams move from experimentation to consistent and effective AI adoption.

Responsibilities

• Drive the adoption of AI-assisted software development practices across the internal development organization.
• Introduce, promote, and support the use of AI coding assistants such as Claude Code and other developer-focused AI tools.
• Identify development workflows and activities where AI can improve productivity, quality, and engineering efficiency.
• Define and maintain best practices, reusable patterns, guidelines, and guardrails for the responsible use of AI in software development.
• Establish recommendations for using AI-generated code while maintaining engineering quality, security, maintainability, and compliance standards.
• Organize and deliver training sessions, workshops, demos, and knowledge-sharing activities for development teams.
• Provide hands-on mentoring and coaching to developers adopting AI-assisted development tools.
• Support developers in integrating AI assistants into their existing development workflows.
• Collect feedback from engineering teams and continuously improve AI adoption strategies and practices.
• Evaluate emerging AI development tools and technologies and assess their potential value for the organization.
• Create documentation, guidelines, examples, and reusable resources to support AI adoption.
• Collaborate with technical leaders and engineering teams to define AI adoption objectives and measure progress.
• Help establish metrics and feedback mechanisms to track AI adoption, usage, and impact on developer productivity.
• Promote a culture of experimentation, continuous learning, and responsible AI adoption across the engineering organization.
• Act as a technical point of reference for AI-assisted development practices and emerging developer AI tooling.

Requirements

• 3+ years of experience in software engineering, developer tooling, technical enablement, or a similar technical role.
• Practical experience using AI assistants for software development, such as Claude Code, GitHub Copilot, Cursor, or similar tools.
• Strong understanding of AI-assisted software development workflows and the software development lifecycle.
• Experience defining and implementing best practices, patterns, standards, and guardrails for AI usage within development teams.
• Hands-on experience with Claude AI / Anthropic tools is highly desirable.
• Understanding of prompt engineering and effective interaction with LLM-based development assistants.
• Experience evaluating AI-generated code and establishing practices for code quality, security, testing, and maintainability.
• Ability to identify suitable development activities for AI-assisted automation and augmentation.
• Experience delivering technical training, workshops, mentoring, or coaching to software development teams.
• Strong communication and presentation skills with the ability to explain AI concepts and tools to technical audiences.
• Experience driving adoption of new technologies, engineering practices, or developer tooling within an organization.
• Understanding of software engineering best practices, including code review, testing, security, CI/CD, and version control.
• Ability to work effectively with developers, technical leads, architects, and engineering managers.
• Strong problem-solving and analytical skills.
• A proactive mindset and genuine interest in emerging AI technologies and their practical application in software engineering.

We Offer

• Relocation package
• Job rotation
• Learning through Arnia Academy
• Attractive projects
• Flexible working hours
• Performance bonuses
• Medical benefits
• Trainings
• Competitive compensation package
• Referral program
• International work experience

About the Company

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