We are seeking an experienced GCP AI Engineer to design, architect, and scale enterprise-grade AI solutions on Google Cloud Platform . The role focuses on building secure, high-performance AI/ML and LLM-based systems in production, while providing technical leadership and architectural guidance.
Key Responsibilities
- Architect and implement scalable AI/ML solutions on GCP (Vertex AI, GKE, BigQuery ML).
- Design and productionize LLM solutions, including RAG, prompt engineering, and RLHF .
- Lead technical design reviews and ensure best practices for security, performance, and scalability.
- Oversee model fine-tuning, deployment, A/B testing, and feedback-driven optimization.
- Collaborate on open-source initiatives and AI research where applicable.
Required Skills & Experience
- Strong expertise in GCP architecture and AI services (Vertex AI, Cloud Storage, GKE).
- Hands-on experience scaling LLMs in production .
- Proficiency with TensorFlow, PyTorch, Hugging Face, OpenAI , and GCP integrations.
- Solid background in data preparation, personalization, and experimentation frameworks .
- Experience with enterprise AI systems and cloud-native design.