AI Engineer

We are looking for an experienced **Gemini Enterprise Agent Engineer** to design, develop, deploy, and govern enterprise AI agents using Gemini Enterprise and Google Cloud technologies. **Key Responsibilities:** * Design and develop enterprise AI agents using Gemini Enterprise (Agentspace), including multi-agent orchestration and tool integration. * Configure enterprise search, data connectors, grounding, and RAG pipelines. * Integrate Gemini models through Gemini API and Vertex AI. * Implement AI governance, access controls, security guardrails, and responsible AI policies. * Establish agent evaluation frameworks, monitoring, audit logging, and performance optimization. * Prevent hallucinations, prompt injection, data leakage, and unauthorized access. * Automate agent development, evaluation, and deployment workflows using Python and APIs. * Collaborate with AI, data, security, compliance, and business teams to deliver production-ready solutions. **Requirements:** * 7+ years of experience in AI/ML engineering, Applied AI, or Generative AI platforms. * **Hands-on experience with Gemini Enterprise (Agentspace)** , including agent design, grounding, enterprise search, and data connectors. * Strong experience with Gemini models, Vertex AI, prompt engineering, tool/function calling, and RAG. * Practical experience implementing AI governance, guardrails, evaluation frameworks, and audit logging. * Strong Python programming and API integration skills. * Understanding of embeddings, vector search, and multi-agent orchestration. * Working knowledge of GCP, including IAM, Cloud Storage, and networking. **Good to Have:** * Google Cloud certifications in Machine Learning or Cloud Architecture. * Experience with Terraform, Kubernetes/GKE, and CI/CD pipelines. * Familiarity with Model Armor, Agent Development Kit (ADK), monitoring tools, and responsible AI frameworks. * Exposure to other enterprise GenAI platforms such as OpenAI, Anthropic, or open-source LLMs. 📍 **Location:** Singapore