Senior AI Engineer
Core
Design, build, deploy, and operate production-grade AI solutions (ML, GenAI, agents) on Google Cloud Platform, translating prototypes into scalable applications.
Role type
Senior AI Engineer (MLOps/LLMOps focus)
Builds
Production AI applications, cloud-native infrastructure, and platform tooling for AI operations
Domain
Enterprise AI, Cloud Infrastructure, MLOps/LLMOps
Deliverable
production ML models | product features | infrastructure
Required skills
Python, software architecture, distributed systems, MLOps/LLMOps practices, Google Cloud Platform (GCP), Infrastructure as Code (Terraform), containerization (Docker, Kubernetes), cloud-native development
Preferred skills
Vertex AI, Generative AI applications, RAG solutions, LLM integration, TensorFlow, Pytorch, Scikit-learn, enterprise security/governance
Technologies
Google Cloud Platform, Terraform, Docker, Kubernetes, Vertex AI, TensorFlow, PyTorch, Scikit-learn
Responsibilities
Design and develop production-grade AI solutions across ML, GenAI, and agent-based use cases; collaborate with Data Scientists to operationalize prototypes; build and improve platform capabilities and tooling; drive MLOps/LLMOps practices (CI/CD, monitoring, observability); develop cloud-native solutions using IaC and container orchestration
Seniority
Senior, hands-on IC
