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Tier‑1 employer, metro locations, and a mid‑level generalist full‑stack AI role drive high applicant competition.
Cloud and AI specialization moderately limits transferability across unrelated industries.
Explicit 4–10 years plus specific Azure, full‑stack and AI tech requirements create strict screening filters.
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Design, build, and deliver cloud-native, full-stack applications on Microsoft Azure with ownership of feature development from estimation through deployment using CI/CD pipelines.
Integrate AI capabilities into applications using Azure AI services, including implementation of RAG patterns and AI workflow optimization, ensuring security and compliance.
Collaborate with architects, senior consultants, and cross-functional teams to translate business requirements into scalable technical solutions and support customer outcomes.
4-10 years of professional software development experience.
Bachelor's degree in Computer Science, Engineering, or related discipline, or equivalent practical experience.
Hands-on experience with full-stack application development using .NET (C#), .NET Web APIs, Node.js, and front-end frameworks like Angular or React.
Experience in integrating AI services on Azure (e.g., Azure AI Foundry, Azure AI Search) and knowledge of Responsible AI principles.
Experienced in end-to-end cloud application delivery on Microsoft Azure with strong ownership and operational responsibility.
Skilled in integrating AI technologies into enterprise applications including experience with RAG pipelines, vector search, or agent-based AI patterns.
Comfortable collaborating closely with senior architects and consultants to drive technical designs and customer engagement in complex, ambiguous environments.