AI Engineer Generative AI & GCP

We are looking for a highly skilled AI Engineer with strong expertise in Generative AI, Vertex AI, GCP, and Python to design, develop, and deploy scalable AI/ML solutions. The ideal candidate should have hands-on experience with LLM integrations, agentic AI workflows, RAG architectures, and MLOps practices within cloud-native environments. Key Responsibilities Design, train, fine-tune, and deploy scalable Machine Learning and Generative AI models using Vertex AI and the GCP ecosystem. Build and manage end-to-end ML deployment pipelines using Vertex AI Pipelines, Model Registry, and Endpoints for real-time and batch inference. GenAI, LLM Integration & Agent Development Integrate commercial and open-source LLM APIs into enterprise applications. Design and develop agentic AI workflows using frameworks such as LangChain and LlamaIndex. Implement prompt engineering strategies to improve reliability, accuracy, and security of model outputs. Work with Model Context Protocol (MCP) integrations and AI orchestration frameworks. Advanced AI Architectures Develop Retrieval-Augmented Generation (RAG) pipelines using embeddings and vector databases. Leverage transformer architectures and modern NLP techniques for semantic search and contextual AI solutions. Design scalable, secure, and highly available cloud-native AI architectures. Implement MLOps best practices including CI/CD pipelines, model monitoring, testing, and performance optimization. Build and maintain automated data pipelines for model training, evaluation, and inference. Security & Governance Ensure AI security, governance, compliance, and data privacy standards are followed. Develop and implement AI Guardrails for responsible AI deployment. Mandatory Skills Generative AI (GenAI) Python Agentic AI RAG (Retrieval-Augmented Generation) Vector Databases & Embeddings MLOps & CI/CD BigQuery, Cloud Storage, Cloud Functions / Cloud Run Preferred Skills Google ADK NLP & Semantic Search AI Security & Governance Model Monitoring & Performance Tuning Experience Required Strong hands-on experience in AI/ML Engineering and Generative AI solutions Experience working with enterprise-scale cloud-native AI applications Soft Skills Strong analytical and problem-solving abilities Excellent communication and collaboration skills Ability to work in fast-paced Agile environments We are looking for a highly skilled AI Engineer with strong expertise in Generative AI, Vertex AI, GCP, and Python to design, develop, and deploy scalable AI/ML solutions. The ideal candidate should have hands-on experience with LLM integrations, agentic AI workflows, RAG architectures, and MLOps practices within cloud-native environments. Key Responsibilities Design, train, fine-tune, and deploy scalable Machine Learning and Generative AI models using Vertex AI and the GCP ecosystem. Build and manage end-to-end ML deployment pipelines using Vertex AI Pipelines, Model Registry, and Endpoints for real-time and batch inference. GenAI, LLM Integration & Agent Development Integrate commercial and open-source LLM APIs into enterprise applications. Design and develop agentic AI workflows using frameworks such as LangChain and LlamaIndex. Implement prompt engineering strategies to improve reliability, accuracy, and security of model outputs. Work with Model Context Protocol (MCP) integrations and AI orchestration frameworks. Advanced AI Architectures Develop Retrieval-Augmented Generation (RAG) pipelines using embeddings and vector databases. Leverage transformer architectures and modern NLP techniques for semantic search and contextual AI solutions. Design scalable, secure, and highly available cloud-native AI architectures. Implement MLOps best practices including CI/CD pipelines, model monitoring, testing, and performance optimization. Build and maintain automated data pipelines for model training, evaluation, and inference. Security & Governance Ensure AI security, governance, compliance, and data privacy standards are followed. Develop and implement AI Guardrails for responsible AI deployment. Mandatory Skills Generative AI (GenAI) Python Agentic AI RAG (Retrieval-Augmented Generation) Vector Databases & Embeddings MLOps & CI/CD BigQuery, Cloud Storage, Cloud Functions / Cloud Run Preferred Skills Google ADK NLP & Semantic Search AI Security & Governance Model Monitoring & Performance Tuning Experience Required Strong hands-on experience in AI/ML Engineering and Generative AI solutions Experience working with enterprise-scale cloud-native AI applications Soft Skills Strong analytical and problem-solving abilities Excellent communication and collaboration skills Ability to work in fast-paced Agile environments