onsite
Forward Deployed Engineering Manager, Generative AI & Google Cloud
AI Engineer
Lead a cross‑functional engineering team that builds and deploys generative AI agent systems on Google Cloud, driving end‑to‑end MLOps pipelines and delivering production‑grade AI solutions.
About the role
Key Responsibilities
- Lead, mentor, and grow a high‑performing engineering team focused on building generative AI agent platforms.
- Design and implement scalable MLOps pipelines using Python, TensorFlow, and Kubernetes on Google Cloud Platform.
- Collaborate with product, data science, and infrastructure partners to translate business requirements into robust AI solutions.
- Ensure production readiness, reliability, and security of AI services through CI/CD, monitoring, and automated testing.
- Drive technical strategy, architecture decisions, and best practices for generative AI and cloud‑native deployments.
Requirements
- 5+ years of software engineering experience with a strong focus on AI/ML, including hands‑on work with TensorFlow or similar frameworks.
- Proven leadership of engineering teams delivering cloud‑native AI products at scale.
- Deep expertise in Python development, Kubernetes orchestration, and Google Cloud services (Vertex AI, GKE, Cloud Build, etc.).
- Solid understanding of MLOps principles, CI/CD pipelines, and production monitoring for AI workloads.
- Excellent communication skills in English (Korean proficiency a plus) and ability to work across distributed, multidisciplinary teams.
Skills
pythontensorflowkubernetesmlopsgenerative ai