Responsibilities

1. Business Opportunity

• Identify and pursue new opportunities in the CMP polishing market.

• Support strategic initiatives like conducting Technical Engagement Meeting (TEM) to expand Company’s technical presence in Southeast Asia.

2. Customer Engagement

• Build strong relationships with customers to understand technical and operational needs.

• Present tailored solutions and proposals that demonstrate clear value.

3. Internal Collaboration

• Work closely with R&D/MSE and Business Unit to translate customer requirements into optimized solutions.

• Provide feedback from customer evaluations to guide product improvements.

4. Technical Proposal & Qualification

• Prepare and deliver comprehensive technical proposals.

• Facilitate and support customer onsite product evaluations and qualifications, ensuring successful integration into customer processes.

Requirement

• Bachelor’s or Master’s degree in Engineering, Materials Science, Physics, Chemistry, or a related field. An advanced degree is a plus.

• 5+ years minimum hands-on experience in the field of Semiconductor.

• CMP experience is a must

• Strong technical knowledge of semiconductor manufacturing processes, particularly CMP polishing.

• Proven ability to engage with customers and manage technical discussions.

• Excellent communication and presentation skills, both technical and business-oriented.

• Ability to work collaboratively across cross-functional teams.

• Experience in Southeast Asia’s semiconductor industry is highly desirable

All Successful candidates can expect a very competitive remuneration package and a comprehensive range of benefits.

As a Customer Service Officer, you’ll deliver outstanding service by managing customer interactions both in-person and over the phone.

• Serve as the first point of contact by warmly greeting customers.
• Handle all inbound and outbound calls, log details accurately in the CRM, and apply correct wrap-up codes.
• Collect and update customer details, vehicle registration, and ownership records.
• Verify warranty and support agreements per local guidelines.
• Book appointments across three service centres and offer mobility services.
• Screen technical calls and route them to the appropriate service advisor and payment method.
• Optimize workshop capacity by efficiently assigning vehicles and tasks.
• Provide general advice and set clear expectations for service follow-up.
• Assist in executing product campaigns and service promotions.
• Arrange airport pickup/delivery and schedule car care services.
• Monitor customer waiting times and non-verbal cues to maintain service standards.
• Generate daily, weekly, and monthly reports as needed.
• Hand over vehicle to customers with basic work explanation.

Who We’re Looking For

• Minimum GCE ‘O’ Level or equivalent qualification
• At least 2 years of experience in customer service or call centre support
• Strong communication and customer service skills
• Able to thrive in a fast-paced environment and work well under pressure
• 2 positions available (Alexandra/Ubi) 

All Successful candidates can expect a very competitive remuneration package and a comprehensive range of benefits.

Role Summary

• Lead the design, development, and governance of enterprise AI agents built on Gemini Enterprise and Gemini models
• Own the full agent lifecycle: architecture, grounding, deployment, evaluation, and ongoing governance
• Ensure agents are accurate, safe, compliant, and trusted enough for production use
• Serve as the go-to expert for building agents on Gemini Enterprise and for setting up the governance frameworks that keep them reliable at scale
• Collaborate with the GCP platform team (the underlying infrastructure runs on Google Cloud Platform)

Key Responsibilities

Gemini Enterprise Agent Development

• Design, build, and own multi-agent solutions on Gemini Enterprise (formerly Agentspace), covering architecture, orchestration, task/tool design, and multi-turn conversation flows
• Configure grounding, enterprise search, and data connectors so agents retrieve accurate, up-to-date, and properly scoped information
• Integrate Gemini models (via Gemini API and/or Vertex AI) into agents and downstream applications, tuning prompts, context strategies, and tool/function calling
• Design and productionize RAG pipelines and retrieval strategies for agent grounding
• Evaluate and iterate on agent quality (accuracy, relevance, latency, cost) using structured evaluation frameworks

AI Governance & Responsible Agent Operations

• Define and implement governance frameworks: access control, data permissions, usage policies, and approval workflows for new production agents
• Build guardrails against hallucination, data leakage, prompt injection, and unauthorized data access
• Establish monitoring, logging, and audit trails for agent behavior, including token usage, response quality, and policy violations
• Partner with security, legal, and compliance teams to meet data privacy, residency, and responsible-AI requirements
• Create and maintain documentation, review checklists, and lifecycle standards (build → evaluate → approve → monitor → retire)
• Track Gemini model and Gemini Enterprise releases and assess their impact on existing agents and governance policies

Cross-Functional Collaboration & Automation

• Work with data science, AI engineering, security, and business teams to turn use cases into governed, production-ready agents
• Automate agent configuration, evaluation, and deployment workflows using Python and Gemini Enterprise/Vertex AI APIs and SDKs
• Build internal tooling and dashboards for visibility into agent inventory, usage, and governance status
• Participate in code and design reviews and contribute to shared standards for agent development and governance

Required Skills & Experience

• 7+ years in AI/ML engineering, applied AI, or GenAI platform roles, with hands-on ownership of agent or LLM-application development
• Direct, hands-on experience building and configuring agents on Gemini Enterprise (or Agentspace): agent design, grounding, enterprise search, data connectors
• Strong hands-on experience with Gemini models (Gemini API or Vertex AI): prompting, tool/function calling, context and RAG design
• Practical experience implementing AI governance controls: access management, guardrails, evaluation frameworks, audit logging, and responsible-AI policies
• Solid understanding of LLM application patterns: RAG, embeddings, vector search, multi-agent orchestration
• Solid Python skills for automation, evaluation tooling, and API integration
• Ability to work cross-functionally with data science, security/compliance, and business stakeholders
• Working familiarity with GCP (IAM, Cloud Storage, basic networking)

Preferred / Nice-to-Have

• Google Cloud certifications (Professional Machine Learning Engineer or Professional Cloud Architect)
• Experience with Terraform, Kubernetes (GKE), or CI/CD pipelines
• Experience with monitoring/observability tools (Cloud Monitoring, Prometheus, Grafana, Datadog)
• Familiarity with responsible-AI and model-risk frameworks for enterprise GenAI
• Experience with other enterprise GenAI/agent platforms (e.g., OpenAI, Anthropic, open-source LLM stacks) for comparison

Soft Skills

• Strong governance and risk mindset, balancing agent capability with safety, compliance, and trust
• Clear communicator who can translate technical agent behavior into business and compliance language
• Comfortable with ambiguity amid fast-evolving Gemini features and emerging governance practices
• Ownership mentality, from agent design through deployment, evaluation, and long-term governance

Tech Stack

• Agent Development: Gemini Enterprise (Agentspace), Gemini models, Vertex AI, Model Armor, custom ADK agents, Agent Designer
• AI Governance: Evaluation frameworks, audit/logging tooling, responsible-AI guardrails, IAM/access policies
• Retrieval & Data: RAG pipelines, enterprise search, data connectors, vector search
• Languages: Python (primary), Terraform, JavaScript, Bash
• Cloud Platform (supporting): GCP (IAM, Cloud Storage, networking basics)
• Monitoring: Cloud Monitoring, Cloud Logging, Prometheus, Grafana

We regret that only shortlisted candidates will be notified

Responsibilities

• Plan and conduct internal audits across business and operational functions.
• Review internal controls, policies and processes to identify gaps and areas for improvement.
• Perform audit testing to assess compliance with internal procedures and regulatory requirements.
• Evaluate operational effectiveness and highlight key risks or control weaknesses.
• Prepare clear audit findings, summaries and reports for management review.
• Recommend practical corrective actions and follow up on agreed audit actions.
• Support audits of regional offices and review work performed by overseas audit teams where required.
• Guide junior team members or interns during audit assignments when necessary.

Requirements

• Degree in Accountancy, Finance, Business or related discipline.
• Minimum 2 years of internal audit experience within banking, securities, brokerage or other regulated financial institutions.
• Strong report-writing, analytical and communication skills, with the ability to present audit findings clearly.
• Good understanding of internal controls and regulatory requirements; occasional regional travel may be required to support local audit teams and conduct audit assignments at overseas offices.

Please submit your updated resume in Word format by using the Apply Now Button.

We regret that only shortlisted candidates will be notified.

Email resume to ken.ng@peopleprofilers.com

People Profilers Pte Ltd, 20 Cecil Street, #08-09, PLUS Building, Singapore 049705.

Tel: 6950 9724