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Metro location and broad ML/Azure/Kubernetes requirements increase applicant density, but seniority narrows pool.
Role requires specialized LLM, agentic AI and Azure expertise, limiting cross-industry transferability.
Multiple mandatory senior ML/LLM, Azure, Kubernetes, and backend skills create strict filtering for candidates.
Lead design and development of Generative AI applications using LLMs, embeddings, vector databases, RAG, and multi-agent frameworks.
Collaborate with AI Engineers, experts, and technical teams to deliver end-to-end AI/ML solutions enhancing user experience.
Define AI/ML model development standards and provide peer review and architecture recommendations for timely, quality delivery.
Bachelor's degree in BS/BE required.
Minimum 8+ years of relevant experience in AI/ML engineering roles.
Strong hands-on experience with Large Language Models (LLMs), agent orchestration frameworks, Azure AI services, Python programming, and backend development with API-driven architecture.
Experience with Kubernetes, Docker, Helm, PostgreSQL, vector databases, and at least one front-end framework (React or Angular).
Experienced in deploying agent-based and autonomous AI systems with strong knowledge of Agentic AI concepts (planning, reasoning, multi-agent collaboration).
Proficient in integrating AI services and APIs, with cloud-native development expertise, especially in Azure and container orchestration platforms.
Able to collaborate cross-functionally on AI/ML standards and deliver operational AI products with full-stack capabilities and strategic architectural input.