• Design, develop, and maintain scalable software systems using microservices architecture and modern engineering practices.
• Participate in the full software development lifecycle — from requirements analysis, design, implementation, and code review to deployment and operations.
• Collaborate closely with AI/ML engineers to integrate AI models, LLMs, and intelligent agents into production systems.
• Lead technical discussions and propose architectural improvements to ensure performance, scalability, and security.
• Mentor junior engineers and contribute to building robust development processes (DevOps, CI/CD, testing automation).

• Bachelor's degree in computer science, Software Engineering, or related technical field.
• Strong understanding of Object-Oriented Programming (OOP), Design Patterns, Microservices Architecture, and Algorithms.
• Proficiency in one of the following technology stacks: 
• Microsoft stack: C#, .NET Framework, Azure Cloud, or
• Open-source stack: Python, Java, Spring Boot, AWS Cloud.
• Excellent problem-solving, system design, and debugging skills.
•  Experience with ReactJS or React Native, Flutter, etc

Nice to Have (a plus if you have)

• Experience working with Azure AI Foundry, Copilot Studio, AI Agents, or LLM development is an advantage.
• Hands-on experience or background in AI & Machine Learning is a plus.
• Experience in setting up DevOps CI/CD pipelines and cloud deployment automation is beneficial.
• Experience using AI-assisted coding tools (e.g., GitHub Copilot, CodeWhisperer, ChatGPT for coding) or strong “vibe coding” skillsets that improve productivity and code quality is a plus.
• Strong communication skills in English (both verbal and written).