onsite
Forward Deployed Engineer, GenAI, Google Cloud
AI Engineer
Forward Deployed Engineer building and scaling Generative AI solutions on Google Cloud, designing API‑driven agent systems and robust data pipelines using Python and modern cloud native tools.
About the role
Key Responsibilities
- Design, develop, and deploy end‑to‑end Generative AI applications on Google Cloud Platform, leveraging Vertex AI and related services.
- Build and maintain high‑performance API integration layers that enable AI agents to interact with external systems and data sources.
- Architect, implement, and optimize scalable data pipelines for training, inference, and continuous model improvement.
- Collaborate with product, research, and infrastructure teams to translate business requirements into reliable, production‑grade code.
- Monitor, troubleshoot, and iterate on deployed services to ensure low latency, high availability, and cost efficiency.
Requirements
- Strong proficiency in Python and experience with cloud‑native development.
- Hands‑on expertise with Google Cloud services (Vertex AI, Cloud Functions, Pub/Sub, BigQuery, GKE/Kubernetes).
- Proven experience building API‑centric architectures and integrating third‑party services.
- Solid understanding of data engineering concepts, including ETL pipelines, streaming, and batch processing.
- Familiarity with Generative AI models, prompt engineering, and machine‑learning lifecycle management.
Skills
pythongenerative aimachine learningkubernetes