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Metro location, popular AI/cloud role, broad skillset requirements, and recognizable employer increase applicant competition.
Core AI and cloud engineering skills are transferable across industries, though agentic AI specialization moderately narrows fit.
Requires degree, demonstrated Agentic AI projects, cloud experience and tooling, producing moderately strict candidate filters.
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Design, develop, and deploy autonomous Agentic AI systems capable of performing tasks and decision-making.
Build and optimize cloud infrastructure on major platforms (AWS, Azure, or GCP) to support AI/ML workloads, including implementing CI/CD pipelines.
Identify operational bottlenecks and implement monitoring and alerting systems to improve resource utilization and system reliability.
Bachelor's or Master's degree in Computer Science, Engineering, or related technical field (2024-2026 graduates preferred).
Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) via projects, internships, or certifications.
Proficiency in Python and familiarity with AI/ML libraries such as TensorFlow, PyTorch, scikit-learn, or LangChain.
Work Experience Required: Entry-level position designed for recent graduates.
Recent graduate with demonstrated academic or project work in Agentic AI, autonomous systems, or AI orchestration frameworks.
Experience or strong familiarity with cloud computing platforms and AI/ML model deployment, including CI/CD and infrastructure optimization.
Capable of working collaboratively in teams, contributing to code reviews, technical documentation, and cross-functional integration efforts.