Total 9 job vacancies by Gk Consulting Pte. Ltd.

Company Overview

Our client is a leading global technology organization investing heavily in next-generation AI capabilities across large language models, search and recommendation systems, AI agents, and high-performance computing infrastructure. As part of its continued expansion in Singapore, the company is looking to appoint multiple Principal / Staff AI Systems Architects to join its growing team.

Job Description

Reporting to senior technical leadership, you will play a critical role in designing and optimizing end-to-end AI systems across the full stack, from model architecture and inference optimization to distributed systems and large-scale production deployment.

You will focus on building high-efficiency AI computing systems, improving performance, scalability, and cost efficiency of large-scale AI workloads in real-world environments.

Key Responsibilities

1. AI Systems Architecture & Optimization

• Design and optimize large-scale AI systems across model, system, and infrastructure layers
• Improve model inference efficiency through techniques such as quantization, sparsity, KV cache optimization, and distributed parallelism
• Ensure low latency, high throughput, and cost-efficient deployment in production environments

2. High-Efficiency AI Computing

• Develop and optimize large-scale inference systems for LLMs and multimodal models
• Work on GPU acceleration, CUDA optimization, and distributed computing frameworks
• Drive performance improvements across compute, memory, and networking layers

3. Search, Recommendation & RAG Systems

• Build scalable AI-powered search and recommendation platforms
• Develop retrieval-augmented generation systems with strong grounding and hallucination control
• Enable multilingual and cross-regional search experiences
• Support personalization and monetization use cases such as recommendation and advertising

4. AI Agent Systems & Security

• Contribute to AI agent system design and orchestration
• Implement safeguards including prompt injection prevention, access control, and system robustness
• Ensure secure and reliable deployment of AI systems

5. End-to-End System Ownership

• Drive technical initiatives from design to production deployment
• Collaborate with cross-functional teams across global engineering and product organizations
• Deliver measurable impact on large-scale production systems

Requirements

Qualifications & Experience

• Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or related field
• 5–12+ years of experience in AI systems, machine learning infrastructure, or distributed computing
• Strong experience working with large-scale production systems

Technical Skills

• Strong expertise in LLMs or multimodal models
• Hands-on experience in inference optimization or high-efficiency computing
• Solid programming skills in Python and/or C++ (CUDA experience preferred)
• Experience with modern AI frameworks and distributed systems

Preferred Experience

• Experience in search, recommendation systems, or RAG architectures
• Familiarity with AI agent systems and orchestration frameworks
• Exposure to large-scale infrastructure such as GPU clusters or cloud-based AI platforms

Key Competencies

• Strong systems thinking across both low-level optimization and high-level architecture
• Ability to work independently as a senior individual contributor
• Comfortable operating in a fast-paced, global environment
• Strong problem-solving and technical leadership capabilities

Additional Information

• Opportunity to work on cutting-edge AI systems with global impact
• Exposure to large-scale real-world AI applications
• Collaborative and innovation-driven environment

We are building a next-generation intelligent computing platform that integrates advanced AI capabilities to power seamless user and enterprise experiences. As AI agents and large language models (LLMs) become core components of modern systems, they also introduce new and complex security challenges—such as prompt injection, unauthorized API access, and data leakage.

Given that AI agents often operate with elevated privileges, improper access control or excessive data exposure can lead to system compromise, privacy risks, and unintended behaviors.

To address these challenges, we are expanding our AI Security R&D team to design and implement robust, system-level protections for AI-driven environments across mobile, desktop, and IoT platforms.

Key Responsibilities

• Design and implement security mechanisms to safeguard AI agents and LLM-powered systems
• Develop and enhance access control frameworks, including dynamic least-privilege models and sandboxing mechanisms
• Secure AI system interactions, including APIs, plugins, and tool integrations
• Identify, analyze, and mitigate emerging threats in AI systems (e.g., prompt injection, adversarial attacks)
• Collaborate with cross-functional teams to integrate security into system architecture and AI workflows

Required Technical Expertise

We are looking for candidates with strong experience in one or more of the following areas:

System Programming

• Proficiency in C/C++ for low-level or system programming (e.g., kernel modules, system services)

Operating System Security

• Deep understanding of OS security mechanisms, including:Mandatory Access Control (e.g., SELinux, AppArmor)Kernel hardening (memory protection, syscall filtering)Secure API design and enforcement

AI / LLM Security

• Familiarity with AI-specific security risks, including:Prompt injection attacksAdversarial machine learning techniquesRisks from over-privileged AI agents

Platform Security

• Experience with security frameworks across mobile, desktop, or Linux-based systems

Qualifications

• Master’s or PhD in Computer Science, Cybersecurity, Artificial Intelligence, or related fields
• Industry experience in operating system or platform security (e.g., Linux, Android, iOS)
• Strong problem-solving skills and a security-first mindset
• Publications or patents in cybersecurity are a plus (not required)

Preferred Experience

• Hands-on experience working with AI agents or AI-enabled systems
• Contributions to system-level or open-source security projects (e.g., Linux kernel, Android AOSP)
• Experience designing or implementing access control or sandboxing frameworks

We are a Singapore-based law firm specialising in Criminal Law, Family Law, and Civil Litigation. We are dedicated to delivering practical, effective, and client-focused legal solutions. Our team works closely with individuals and businesses, providing strategic advice and strong legal representation.

We are looking for a motivated and detail-oriented Legal Associate to join our growing team. This role is ideal for candidates with a solid foundation in litigation and a strong interest in criminal and family law matters.

Key Responsibilities

Litigation & Case Management

• Assist in handling criminal, family, and civil litigation matters
• Draft pleadings, affidavits, submissions, and legal correspondence
• Conduct legal research and prepare case summaries
• Attend court hearings, mentions, and trials (where applicable)

Client Advisory

• Liaise with clients and provide legal advice under supervision
• Take instructions and assist in developing case strategies
• Maintain strong client relationships and high service standards

Documentation & Compliance

• Review and prepare legal documents, contracts, and agreements
• Ensure compliance with procedural rules and court timelines
• Manage case files and maintain proper documentation

Requirements

• Qualified to practise law in Singapore
• Called to the Singapore Bar (or eligible to be called)
• Strong interest in Criminal Law, Family Law, and Civil Litigation
• Excellent drafting, research, and analytical skills
• Strong communication and interpersonal abilities
• Ability to work independently and collaboratively

Preferred Qualifications

• 1-3 years PQE (fresh graduates are welcome to apply)
• Prior experience or internships in litigation practice
• Familiarity with Singapore court procedures

What We Offer

• Exposure to a wide range of litigation matters
• Mentorship and hands-on training
• Supportive and collaborative work environment
• Opportunities for professional growth and development

AI SYSTEM ENGINEER, HIGH-PERFORMANCE COMPUTING (HPC / GPU / NPU) | GLOBALAI INFRA PLATFORM

Our Client is a leading global technology company developingnext-generation AI infrastructure and accelerator platforms. The organisationadvances large-scale AI computing through innovations in reduced-precision and sparsity-driven computing,combined with hardware–software co-optimization,delivering significant gains in performance and energy efficiency.

Reporting to senior technical leadership, this role sits at theintersection of algorithms, architecture, and silicon,driving high-efficiency AI computing. You will play a key role in shaping AI accelerator microarchitecture and optimizingperformance for large-scale AI models (LLMs / multimodal systems).

·       Lead research in low-precision quantization and sparse computing algorithms

·       Design and optimize high-performance kernels (e.g., GEMM, Attention)

·       Drive hardware–softwareco-design to enhance chip performance and efficiency

·       Identify system bottlenecks andinfluence next-generation AI chip architecture

·       Collaborate with IC teams on specifications, benchmarking, and optimization

Master’s or PhD in Computer Science, Electronic Engineering, or a relatedfield, with a strong foundation in GPU/NPU and computer architecture.Demonstrated expertise in quantization, sparsity, or AI acceleration algorithmsis required, with experience in LLM or multimodal inference optimizationpreferred. Exposure to high-performance kernel optimization or system-level AIaccelerator design is a plus, while publications in top-tier conferences (e.g.,ISCA, MICRO, HPCA, ASPLOS, NeurIPS, CVPR) are advantageous. Strongcross-functional collaboration and communication skills are essential.

Our Client is a leading global technology company specializing intelecommunications, consumer electronics, and advanced digital infrastructure.The organisation is at the forefront of innovation in areas such as 5G, cloudcomputing, and AI, with strong global R&D capabilities and a rapidlygrowing presence across key markets. Huawei is committed to driving digitaltransformation and building next-generation intelligent systems throughcontinuous investment in technology and talent.

Reporting tolocal management and regional stakeholders, this role sits at the intersectionof talent acquisition, business operations, and employer branding, supporting end-to-endrecruitment activities. You will play a key role in driving hiringefficiency, managing stakeholder expectations, and ensuring a strong pipelineof talent to support business growth.

• Partner withlocal management and HQ business leaders to manage recruitment needs,headcount planning, and hiring budgets
• Develop and expand local sourcing channels, optimizing recruitment strategiesto improve efficiency and reduce costs
• Manage end-to-end recruitment processes, ensuring smooth execution ofhiring workflows and approvals
• Take ownership of candidate experience, including job postings, jobdescriptions, and overall hiring journey design
• Ensure all recruitment activities comply with relevant employment laws andregulations
• Prepare and analyze recruitment reports in line with organizationalrequirements
• Build and maintain relationships with universities, career offices, andstudent organizations to support campus hiring initiatives

Bachelor’sdegree or above, with prior experience in recruitment, talent acquisition, orHR-related roles preferred. Familiarity with university programs andcampus recruitment channels is advantageous. Strong proficiency inMicrosoft Office tools (Word, Excel, PowerPoint, Outlook), with particularstrength in presentation development. Excellent communication skills in bothEnglish and Mandarin, with the ability to engage stakeholders at alllevels. Candidates should demonstrate a proactive attitude, ability to workindependently in a fast-paced environment, and resilience under pressure.

Our Client is a leading global InsurTechplatform provider transforming the Property & Casualty (P&C) insurancelandscape through API-driven, modular core systems. With an establishedpresence in the U.S. market, the organisation partners with insurance carriers,MGAs and system integrators to enable next-generation insurance operationsacross policy, billing, claims and distribution.

Reporting to regional leadership, this rolesits at the intersection of legal, business, and operations, supportingcommercial activities and legal governance across Southeast Asia and APACmarkets. You will play a key role in managing legal risks, enabling businessexpansion, and strengthening legal and compliance frameworks across theorganisation.

• Drive, manage, and participate incontract negotiations with clients, business partners, and suppliers acrossSoutheast Asia and APAC
• Draft, review, and interpret a wide range of commercial contracts and legaldocuments
• Conduct legal research on applicable laws and regulations across multiplejurisdictions
• Support and advise on, or lead resolution of, disputes and legal mattersacross Southeast Asia, North Asia, and other regions
• Develop and optimize contract templates and legal frameworks to supportevolving business needs
• Support corporate development initiatives and cross-border legal coordination
• Handle labor and employment-related matters when required
• Draft and enhance compliance policies in line with regulatory updates andbusiness requirements
• Provide ongoing legal and compliance support across business functions

Bachelor’s degree in Law with 5–10 yearsof experience, ideally from a reputable law firm,MNC, or high-growth startup. Experience in TMT / internet / cloud ortechnology-related industries is preferred. Strong capability in contractdrafting and negotiation is required, with the ability to handlecross-border / multi-jurisdictional matters. Candidates should demonstratestrong communication skills, a business-oriented mindset, and the ability towork effectively in a fast-paced, cross-functional environment.

bout the Role

We are seeking an experienced and strategic Legal Director to lead our global legal and compliance function. This role will play a critical part in supporting business growth, managing legal risks, and ensuring regulatory compliance across multiple jurisdictions. You will partner closely with senior leadership and drive legal excellence across all aspects of the organization.

Key Responsibilities

Global Compliance & Strategy

• Develop and implement a robust global legal and compliance framework
• Ensure business operations align with local laws, regulations, and international standards across all regions

Contract Management & Legal Systems

• Establish and optimize global contract management processes and standardized templates
• Lead the review and negotiation of complex commercial agreements, investments, and strategic transactions
• Build and maintain a comprehensive legal risk management system

Dispute Resolution & Strategic Support

• Oversee and manage significant litigation, arbitration, and dispute matters
• Provide legal leadership in key business activities including negotiations, M&A, and financing initiatives

Legal Advisory & Risk Control

• Act as a trusted advisor to senior leadership and cross-functional teams
• Proactively identify and mitigate legal and compliance risks across global operations

Team Leadership & External Counsel Management

• Lead and develop a high-performing global legal team (including Singapore and overseas offices)
• Manage external legal advisors to ensure high-quality and cost-effective legal support

Regulatory Intelligence & Knowledge Management

• Monitor legal and regulatory developments across key markets
• Build and maintain a centralized legal knowledge base to support strategic decision-making

Requirements

Education

• Master’s degree in Law (or equivalent) from a reputable institution
• Overseas legal qualifications (e.g., LL.M., J.D.) or foreign bar admission are advantageous

Experience

• 8–10+ years of legal experience in top-tier law firms and/or multinational corporations
• At least 5 years in a leadership role (e.g., Legal Director, Senior Legal Counsel)
• Experience in technology, manufacturing, or internet sectors is a plus
• Proven experience managing global legal systems and cross-border matters

Core Competencies

• Strong expertise in corporate law, commercial contracts, foreign investment, data privacy, IP, and dispute resolution
• Demonstrated success handling complex transactions and compliance programs
• Excellent bilingual communication skills (English & Chinese), with English as the primary working language
• Strong negotiation, drafting, and stakeholder management abilities

Personal Attributes

• Strategic thinker with strong business acumen and sound judgment
• Proactive, detail-oriented, and resilient under pressure
• Effective leader with strong cross-cultural collaboration skills

Why Join Us?

• Opportunity to shape and lead global legal strategy
• Work closely with senior leadership on high-impact initiatives
• Dynamic, fast-paced international environment

About the Role

We are building large-scale AI platforms powering search, recommendation, and advertising systems across a high-impact ecosystem.

In this role, you will work at the intersection of machine learning, distributed systems, and platform architecture—driving both algorithm innovation and system design to deliver intelligent, personalized user experiences at scale.

What You’ll Do

• Design and develop search, ranking, and recommendation algorithms to improve relevance, engagement, and monetization
• Apply advanced ML techniques (e.g., deep learning, bandits, reinforcement learning, LLMs) to real-world systems
• Build and optimize scalable ML systems, from experimentation (A/B testing) to production deployment
• Analyze large-scale user data to drive continuous model and system improvements
• Collaborate across teams to integrate ML models into search, ads, and platform infrastructure
• (Senior/Principal) Influence system architecture and drive cross-domain technical initiatives

Minimum Qualifications

• Degree (Bachelor’s/Master’s/PhD) in Computer Science, AI, or related field
• Strong foundation in algorithms, machine learning, and large-scale data processing
• Experience in search, recommendation, ads, or ML systems
• Proficiency in Python, Java, or Scala, and ML frameworks (e.g., TensorFlow, PyTorch)

Preferred Qualifications

• Experience with LLMs, recommender systems, or ads ranking/monetization
• Familiarity with bandits, reinforcement learning, or advanced ranking techniques
• Experience building distributed systems or ML platforms at scale
• Publications in top conferences (e.g., KDD, NeurIPS, ICML, ACL)
• Strong problem-solving, communication, and cross-team collaboration skills
• (Senior+) Experience leading initiatives or influencing system architecture

Why Join Us

• Build AI systems that impact millions of users at scale
• Work across search, ads, and personalization in an end-to-end environment
• Shape next-generation AI-native platforms and user experiences
• Grow as a technical expert or leader in a high-impact role

About the Role

We are seeking Principal / Senior Engineers to drive innovation in high-efficiency AI computing. In this role, you will bridge algorithms and hardware design, advancing low-precision and sparse computing to improve the performance and energy efficiency of next-generation AI accelerators.

What You’ll Do

• Research and develop advanced quantization techniques for low-precision computing
• Design and optimize high-performance kernels (e.g., GEMM, FlashAttention)
• Collaborate on hardware–software co-design to improve system performance and efficiency
• Partner with IC design teams on specifications, benchmarking, and patent development

Minimum Qualifications

• Ph.D. in Computer Science, Electronic Engineering, or related field
• Strong knowledge of GPU/NPU architecture
• Expertise in low-precision quantization and sparsity

Preferred Qualifications

• Experience with LLM or multimodal model inference optimization
• Hands-on kernel development experience
• Background in AI accelerator system design
• Publications in top conferences (e.g., ISCA, MICRO, HPCA, ASPLOS, NeurIPS, CVPR)
• Strong cross-team collaboration skills