AI Developer

Indsafri India Private Limited; South Africa; Hybrid; ZAR 600,000 - 900,000; Full time

Job summary

Indsafri is seeking an experienced AI Developer to design, build, test, and deploy AI-powered solutions using the Microsoft AI software stack. You will work in a multidisciplinary delivery team focused on scalable, secure, and production-ready outcomes in Azure.

The role emphasizes collaboration, knowledge sharing, and adherence to engineering standards. The ideal candidate has hands-on experience with Azure AI Foundry, Copilot Studio, and Generative AI, and can translate business requirements

Qualifications

• 2-5 years of software development experience.
• Proven delivery in enterprise environments.
• Hands-on with Microsoft AI technologies.

Responsibilities

• Design, develop, test, and implement AI agents and AI-powered solutions.
• Develop solutions using Azure AI Foundry, Copilot Studio, and Microsoft AI services.
• Configure prompts, orchestration logic, workflows, connectors, and integrations.
• Support proofs of concept, pilots, production solutions, deployments, and releases.

Skills

Azure AI Foundry

Copilot Studio

Azure OpenAI

Generative AI

API integration

Security principles

Education

Bachelors in CS/IT/Software Eng

Tools

Power Platform

Logic Apps

Microsoft Graph

CI/CD

Job description

The AI Developer is responsible for designing, developing, testing, and deploying AI-powered solutions using the Microsoft AI technology stack. The role contributes to business use-case delivery, platform enablement, and internal AI capability through collaboration, knowledge sharing, and adherence to engineering standards.

The successful candidate will work in a multidisciplinary AI delivery team focused on scalable, secure, and production-ready solutions using Azure AI Foundry, Copilot Studio, and related Microsoft technologies.

Key Responsibilities

AI Solution Development

• Design, develop, test, and implement AI agents and AI-powered solutions.
• Develop solutions using Azure AI Foundry, Copilot Studio, and Microsoft AI services.
• Configure prompts, orchestration logic, workflows, connectors, and integrations.
• Support proofs of concept, pilots, production solutions, deployments, and releases.

Technical Delivery

• Translate business requirements into practical technical solutions.
• Develop reusable components, patterns, and accelerators.
• Integrate AI solutions with enterprise applications and data sources.
• Support testing, defect resolution, and performance optimization.
• Produce technical documentation and implementation guides.

Quality and Engineering Standards

• Follow established engineering standards and development practices.
• Participate in peer reviews and code reviews.
• Ensure solutions are secure, scalable, maintainable, and aligned to architecture principles.
• Contribute to continuous improvement of AI development practices.

Collaboration and Enablement

• Work with business stakeholders, architects, developers, testers, and product owners.
• Participate in Agile ceremonies and delivery planning.
• Share knowledge and lessons learned through demonstrations and knowledge-sharing sessions.

Technical Skills

• Hands‑on experience with Azure AI Foundry, Copilot Studio, Azure AI Services, and Azure OpenAI.
• Understanding of Generative AI and Large Language Models.
• Experience building, configuring, and deploying AI agents.
• API integration experience and understanding of authentication and security principles.
• Experience testing and debugging solutions.

Advantageous

• Power Platform, Azure Functions, Logic Apps, Microsoft Graph, custom connectors, and Microsoft Fabric.
• DevOps and CI/CD practices.

Experience

• 2-5 years of software development experience.
• Proven delivery experience in an enterprise environment.
• Hands‑on experience with Microsoft AI technologies.
• Experience building and deploying AI or automation use cases.

Qualifications

• Degree or diploma in Computer Science, Information Technology, Software Engineering, Data Science, or a related technical field.

Preferred Certifications

• Microsoft Applied Skills: Build AI Apps with Azure AI Foundry.

Technical

• AI solution development, systems integration, API development, problem solving, testing, quality assurance, and technical documentation.

Behavioural

• Continuous learning, collaboration, innovation, accountability, customer focus, and adaptability.

Success Measures

• Delivery of AI solutions against agreed timelines.
• Quality and stability of deployed solutions.
• Adoption of engineering standards and best practices.
• Contribution to reusable assets and accelerators.
• Knowledge sharing and capability uplift within the team.
• Business value delivered through AI use cases.

Ideal Candidate Summary

A hands‑on AI practitioner with strong Microsoft AI platform experience who can design, build, test, and deploy AI solutions collaboratively within an Agile delivery team. The individual can translate business requirements into practical solutions and is committed to high engineering standards and organizational capability building.

Skills