Description

You will design, build, and deploy scalable AI and LLM solutions on Google Cloud Platform.

This role is on-site.

Responsibilities

• Architect and implement secure, high-performance AI/ML infrastructure on GCP.
• Design and optimize enterprise applications, including production LLMs using RAG and RLHF.
• Oversee fine-tuning, deployment, and scaling of models via Vertex AI.
• Review solution designs for scalability, security, and performance best practices.
• Manage data preparation, generation, and feedback-driven optimization strategies.

Required Skills

• 10+ years of experience in Google Cloud Platform architecture.
• Deep expertise with Vertex AI, BigQuery ML, Cloud Storage, and Kubernetes (GKE).
• Proven track record designing and scaling enterprise AI solutions and LLMs in production.
• Strong knowledge of prompt engineering, RLHF, and RAG techniques.
• Proficiency with Hugging Face, OpenAI, TensorFlow, and PyTorch.
• Familiarity with multi-modal AI models and generative AI technologies.
• Experience with A/B testing and personalization engines.

Preferred Skills

• Experience with multi-modal AI models and generative AI technologies.
• Strong background in data preparation and generation within cloud services.

Key Skills

Education

Any Graduate