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Tier-1 brand, flexible-hybrid, mid-level generalist title, metro and broad AI+fullstack requirements increase competition.
Role needs AI-integrated fullstack and cloud experience, moderately transferable but favors enterprise software backgrounds.
Explicit 5+ years plus mandatory fullstack, DevOps, and AI/ML experience and language requirements increases filter strictness.
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Lead design and delivery of scalable AI-powered enterprise software solutions to enhance business workflows and employee productivity.
Architect and implement AI workflows including RAG patterns, integrating generative AI and large language models with cloud-native architectures on AWS/GCP.
Mentor junior engineers and collaborate cross-functionally to define technical direction and adopt emerging AI technologies.
Master's degree in Computer Science, Engineering, or related field.
5+ years professional software engineering experience including full stack, DevOps, and AI/ML development with recent senior developer role.
Strong programming skills in Python, Golang, or TypeScript and experience with AI/ML technologies including LLMs and prompt engineering.
Experience with cloud platforms (AWS or Google Cloud), system design, architecture patterns, and security best practices.
Experienced in leading AI-centric software development at enterprise scale with strong technical leadership and mentoring skills.
Strong collaborator able to work across time zones and with cross-functional teams to deliver impactful AI-enabled business solutions.
Demonstrates expertise in cloud-native architectures, generative AI technologies, and modern software design principles in fast-evolving environments.