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Open nowPosted 7 days ago

IT Application Support Specialist L2 (Agentic AI Engineer)

ELLIOTT MOSS CONSULTING PTE. LTD.

Pay
SGD 13,000 – SGD 14,800 a Monthly
Where
Central, Singapore
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Your applicationOpen nowIT Application Support Specialist L2 (Agentic AI Engineer)ELLIOTT MOSS CONSULTING PTE. LTD. · Central, Singapore

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: posted 7 days ago

The posting

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.

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