AI Engineer | Gen AI, Agentic AI, Gemini, GCP & RAG

Role & responsibilities

• Develop and deploy Gen AI, Agentic AI, Multi-Agent Systems, and RAG solutions on GCP.
• Build AI applications using Vertex AI, Gemini, Python, Fast API, and cloud-native services.
• Design scalable AI architectures and enterprise integrations.
• Implement prompt engineering, vector search, embeddings, and model evaluation.
• Manage AI deployment, ML Ops, CI/CD, monitoring, and production support.
• Ensure security, governance, Responsible AI, and performance optimization.
• Collaborate with stakeholders to deliver innovative AI-driven business solutions.

Preferred candidate profile

• Expertise in GCP, Vertex AI, Gemini Enterprise, Generative AI, and Agentic AI.
• Hands-on experience in Multi-Agent Systems, RAG Pipeline Development, Prompt Engineering, LLMs, and Vector Databases.
• Strong proficiency in Python, Fast API, Docker, Kubernetes, Terraform, and CI/CD.
• Experience designing scalable enterprise AI solutions and deploying production-grade AI applications on Google Cloud.
• Excellent communication, stakeholder management, and solution design capabilities.
• Google Cloud certifications such as Professional Cloud Architect or Professional Machine Learning Engineer are highly desirable