Full Time IT Application Support Specialist L2 (Agentic AI Engineer) Jobs, Salary up to SGD 13,000 in ELLIOTT MOSS CONSULTING PTE. LTD. Central Region (Singapore) - Maukerja

Job Description

·      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. 

Minimum 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.