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Tier-1 brand, generalist full-stack title, metro location, and broad GenAI/cloud skillset increase competition.
Applied AI plus full-stack cloud skills are transferrable, but specialized GenAI experience raises sensitivity.
Explicit 6+ years plus 3+ years AI and cloud and specific tech stack enforce strict shortlisting.
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Develop and deliver full-stack products integrating GenAI and agentic AI capabilities with accountability for cost and quality metrics.
Lead end-to-end product engineering including requirement analysis, design, coding, testing, integration, and support aligning with business outcomes.
Collaborate with cross-functional teams to create lean, supportable, and scalable AI-infused solutions using modern software engineering and AI practices.
Bachelor’s degree in computer science, software engineering, data science, machine learning, or related discipline.
6+ years experience with Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, and unit testing frameworks.
3+ years experience building AI/ML and agentic applications with hands-on GenAI experience including LLM integration, RAG pipelines, prompt engineering, vector databases, and AI agent orchestration.
3+ years cloud-native engineering experience on Azure, AWS, or GCP with AI/ML services and infrastructure-as-code plus cost-aware engineering (FinOps).
Proven experience delivering complex AI-enabled full-stack software products with focus on technical quality and business outcomes.
Comfortable leading architecture, design, and integration in product engineering teams with continuous delivery using modern DevSecOps and AI SSDLC methodologies.
Able to rapidly learn domain-specific knowledge and translate business/user needs into scalable technical solutions while managing technical debt and costs.