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Tier-1 brand, mid-level generalist ML/AI role, metro context, and broad skill requirements increase applicant competition.
Requires specialized GenAI, vector DB and agentic AI experience making cross-industry transfer moderately constrained.
Multiple explicit years requirements and mandatory GenAI, cloud, and toolchain skills make filters highly strict.
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Design, develop, and deliver full-stack AI-enabled products integrating GenAI and agentic capabilities with accountability for quality, cost, and outcomes.
Own code integrity, architecture alignment, testing, deployment, and ongoing maintenance including cloud cost and inference/token usage.
Collaborate with cross-functional teams throughout product lifecycle, utilizing modern AI software engineering practices for continuous improvement and scalable delivery.
Bachelor’s degree in computer science, software engineering, data science, machine learning, or related discipline.
3+ years experience with Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, unit testing frameworks.
2+ years hands-on experience building AI/ML and agentic applications with GenAI (LLM integration, RAG pipelines, prompt engineering, vector DBs, agent orchestration).
2+ years cloud-native engineering experience with Azure, AWS, or GCP including AI/ML cloud services and cost-aware infrastructure as code.
Experienced full-stack engineer fluent in AI and agentic application development capable of delivering end-to-end robust solutions.
Practitioner of modern software engineering and AI SSDLC methodologies emphasizing automation, quality KPIs, and FinOps.
Skilled at collaborating across product, UX, and delivery teams to align technical solutions with business goals under ambiguity and rapid delivery cycles.