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Popular fullstack title, mid-level experience, metro location, and broad skill requirements drive high competition.
Skills are broadly transferable across industries but AI specialization adds some domain specificity.
Explicit 5+ years plus mandatory full-stack, AI, cloud, and multiple tech proficiencies imply high strictness.
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Design, develop, and maintain AI-powered full-stack web applications and internal productivity tools.
Build AI copilots, workflow automations, and intelligent assistants using Large Language Models and integrate enterprise APIs and services.
Ensure security, scalability, maintainability, and high performance of applications; participate in architecture, code reviews, testing, and deployment.
Bachelor's degree in Computer Science, Software Engineering, or related field.
Minimum 5 years of software development experience with strong full-stack skills.
Proficiency in Python, JavaScript/TypeScript, React (preferred), Node.js or .NET, REST APIs, and both SQL and NoSQL databases.
Experience with cloud platforms (Azure, AWS, or GCP) and building AI/GenAI applications including prompt engineering, RAG, vector databases, and AI agents.
Experienced in rapidly transforming prototypes and ideas into production-ready AI solutions with a strong focus on quality and reliability.
Comfortable working with minimal supervision and continuously adapting to emerging AI technologies.
Demonstrates expertise in AI innovation, automation, and balancing speed with software engineering best practices.