• 3–5 years of hands-on experience in AI engineering and 10+ years of overall work experience.
• Knowledge of software engineering best practices including source control, CI/CD, and automated testing
• Strong fundamentals in distributed systems, API design, and cloud-native architecture
• Experience with Azure or AWS cloud services (compute, identity, networking, storage)
• Proficiency in at least two of: React/TypeScript, Python, C#/.NET
• Demonstrated curiosity about AI/ML: prompt engineering, LLM integration, agent patterns, or model evaluation
• Strong critical thinking, communication, and teamwork skills, with a willingness to share ideas and collaborate.
• Growth mindset — eagerness to learn from senior architects and continuously expand your skills
Preferred Qualifications
• Experience designing multi-service architectures (microservices, event-driven, or modular monolith patterns)
• Familiarity with Azure Container Apps, Entra ID, Bicep, and API Management
• Hands-on experience with AI-assisted development tools (Claude, Copilot, Cursor)
• Exposure to agentic AI patterns: tool use, multi-agent orchestration, function calling
• Azure certifications (AZ-204, AZ-305) or equivalent cloud architecture training
• Experience in construction technology, industrial systems, or regulated #LI-AK1