AI-native talent
AI belongs in the work. People own the result.
Every professional in the Division5 network is AI-native. For engineering engagements, Division5 also provides in-house AI training and pays for AI tooling subscriptions. These are working practices and support included with engineering engagements.
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Read the case studyA safe AI review conversation
Use your organization’s rules to assess how a person would work in your environment. These questions are buyer guidance, not a claim about a Division5 screening step.
- Decision area:Data rules
- Question to settle before work starts:Which customer, personal or confidential data may be used with approved tools, and which must stay out?
- Decision area:Output checks
- Question to settle before work starts:How will a person verify AI-assisted work against requirements, tests and source material?
- Decision area:Ownership and provenance
- Question to settle before work starts:How will the team track generated or third-party material and follow your code or content ownership rules?
- Decision area:Human responsibility
- Question to settle before work starts:Who reviews the final work, handles errors and approves changes before they affect customers?
Roles and technologies
Share the skills you need. We confirm relevant profiles and availability for each brief.
Engineering roles
- JavaScript and frontend: React, Angular, Vue
- Node.js and full-stack
- Java, .NET / C#, PHP and Python
- Mobile: iOS, Android, Flutter and React Native
- DevOps, cloud architecture, QA and testing
- Data engineering and data analysis
AI, infrastructure and development tools
- Machine learning, NLP, computer vision and AI integration
- CI/CD, cloud, monitoring and security
- Databases: MySQL, PostgreSQL, MSSQL and MongoDB
- Web frameworks: Django, Flask, Laravel and Symfony
- Cloud and tools including AWS, Google Cloud and Firebase
Business and creative roles
- Growth strategy and performance marketing
- Content and analytics
- UI/UX and graphic design
- Product, operations and customer support
For every network role
AI-native is a network standard. The practical tools and methods depend on the role, client environment and work. Discuss the person’s experience with the tools that matter to your team during the profile review.
For engineering engagements
Dedicated engineering engagements include in-house AI training and Division5-paid AI tooling. The team works within your project context, agreed tools and existing collaboration practices.
What to evaluate
A useful technology conversation stays close to the job. Ask candidates to explain their approach, judgment and review practices using examples from relevant projects.
- Which parts of the work benefit from AI assistance?
- How are outputs checked against requirements and quality expectations?
- What data or tools may the role use in your environment?
- How will the team share decisions and review work?
Profiles make experience easier to discuss
Review skills, project history and introduction videos before meeting. Then use the conversation to understand how the person would approach your work and make decisions.
Bring a real problem to the conversation.
Tell us about the work, the tools in scope and the level of ownership you need.