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Mid-level full-stack role, metro location, and generalist skills make applicant competition high.
AI-first full-stack deployment skills are transferable but require platform, cloud, and domain integration knowledge.
Explicit 3–5 years plus mandatory full-stack, LLM/Generative AI, cloud and vector DB experience increases strictness.
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Develop, deploy, and optimize AI-powered full-stack applications integrating Generative AI, LLMs, AI Agents, and RAG for enterprise customers.
Engage directly with customers and Solution Architects to translate business requirements into rapid PoCs, prototypes, and production-ready AI software solutions.
Ensure scalability, security, and reliability of AI solutions, support deployments, and contribute reusable components and best practices to accelerate delivery.
3-5 years of experience in full-stack software development.
Bachelor's degree in Computer Science, IT, Engineering, or related field.
Hands-on experience with cloud-native web applications, REST APIs, Microservices, and AI application development involving LLMs or Generative AI platforms.
Proficiency in Python, JavaScript/TypeScript, Java, C#, or Node.js; experience with React, Angular, or Vue.js frameworks; and familiarity with cloud platforms (Azure, AWS, GCP).
Experienced in customer-facing roles that combine technical development with direct business problem-solving and demonstrations.
Skilled at rapid prototyping and delivering MVPs to validate AI use cases that accelerate customer adoption.
Operates effectively within cross-functional teams applying AI-first software engineering practices and emerging AI technologies to enterprise-grade solutions.