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Popular fullstack title increases competition, but GenAI/Azure specialization reduces candidate pool.
Medium - fullstack and GenAI skills are transferable across industries but require cloud and LLM experience.
High - explicit 6–10 years plus mandatory Azure, React, Python, and GenAI/LLM expertise.
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Lead design, development, and scaling of enterprise-grade applications integrating Generative AI models.
Build and maintain agentic architecture, APIs, microservices, and responsive front-end using Python, C#, and React within Azure cloud environment.
Collaborate with cross-functional teams to ensure end-to-end delivery and maintain technical documentation.
Bachelor’s degree in a relevant field.
6–10 years of experience in full-stack and cloud-based development.
Proficiency in Python, C#, React, and Microsoft Azure services including Azure AI Foundry and Kubernetes.
Experience working in Agile delivery environments.
Experienced in designing scalable, secure AI-driven systems and integrating open-source large language models such as Llama, Mistral, GPT.
Capable of managing data pipelines with SQL and NoSQL databases and implementing event-driven architectures.
Skilled in Agile collaboration, technical problem-solving, and aligning development strategies with business objectives.