Quality Assurance & Testing: Prepare test cases, execute data quality validations, identify anomalies, and support bug resolution.
Technical Documentation: Author and maintain clear project documentation, data mapping specs, and system guides.
Deployment & Knowledge Transfer: Support system deployments, assist in preparing user training materials, and participate in client onboarding activities.
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Quality Assurance & Testing: Prepare test cases, execute data quality validations, identify anomalies, and support bug resolution.
Technical Documentation: Author and maintain clear project documentation, data mapping specs, and system guides.
Deployment & Knowledge Transfer: Support system deployments, assist in preparing user training materials, and participate in client onboarding activities.
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Position yourself for future engineering roles by owning small subsystems and seeing work progress from prototype to production.
Ready to turn classroom ideas into working machines? By working with us at FlexLink Engineering Sdn Bhd, you'll join a hands-on engineering team that designs automation modules and production systems for regional manufacturers, improving how products are made and moved.
As a Mechanical Engineering Intern, you will help build prototypes, test rigs and component assemblies that move projects from concept to shop floor. You will take part in design reviews, laboratory testing, component sourcing and system integration to scale ideas into manufacturable solutions.
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Maintain and harden existing sites — firmware, switch configs, IP documentation, rack hygiene, cable labelling, replacing failing routers and APs with minimal store downtime.
Reduce repeat work — when the same fault appears at three stores, you raise it, script around it or propose the permanent fix.
Support endpoints — in-store PCs, terminals and printers, remote support via SSH / RDP / RustDesk / MeshCentral / Intel AMT.
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Maintain and harden existing sites — firmware, switch configs, IP documentation, rack hygiene, cable labelling, replacing failing routers and APs with minimal store downtime.
Reduce repeat work — when the same fault appears at three stores, you raise it, script around it or propose the permanent fix.
Support endpoints — in-store PCs, terminals and printers, remote support via SSH / RDP / RustDesk / MeshCentral / Intel AMT.
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Security & Governance: Implement enterprise security controls on-site, including IAM policy management, network security groups, encryption standards, and local regulatory compliance rules.
Operations & Troubleshooting: Perform real-time technical troubleshooting, root-cause analysis (RCA), and operational support directly within the client environment.
Client Engagement: Communicate technical progress, document architecture setups, and provide technical advisory to local stakeholder teams.
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Partner with AI engineers and developers — including agentic AI initiatives such as multi-agent orchestration systems, natural-language query layers over real-time vision event data, and LLM tool-use and automation — to scope, estimate, and sequence work accurately.
Develop detailed project plans, timelines, and resource allocation; monitor progress and report against KPIs.
Serve as the primary point of contact for clients, managing communication and expectations across technical and business audiences.
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Mentor engineers through code reviews, pair programming, and documentation to raise team standards and reduce defects. Set coding conventions, run knowledge-sharing sessions, and help junior engineers take ownership of operational tasks.
Build a visible portfolio of production systems by driving deployments, monitoring, and structured postmortems that show operational thinking. Own service-level metrics, alerting, and incident follow-up, and present outcomes to product and client stakeholders.
Accelerate your path toward senior solutions engineering or product roles by owning measurable demo success metrics. Document technical wins and case studies that highlight your impact on deals and deployments.
Gain visibility with product and engineering teams by feeding back field insights that influence roadmap priorities. Learn how product decisions are made and how to translate customer requests into deliverable scope.
Full Stack EngineeringFrontend: React, Next.js, TypeScript, modern component architectures, state management, real-time and streaming AI interfaces, agent activity and execution interfaces, data visualization.Backend: Node.js, TypeScript, Python, REST APIs, GraphQL, WebSockets and streaming, event-driven architectures, background workers, job queues, distributed systems, authentication and authorization.
Distributed SystemsDesign systems that reliably execute thousands or millions of AI and data-processing tasks. Kubernetes, Docker, Cloud Run and serverless, message queues, Redis, Kafka or equivalent, distributed job processing, concurrency management, rate limiting, retries, idempotency, fault tolerance, observability. You know how to build systems that stay reliable when agents fail, APIs time out, models hallucinate, or downstream services go away.
Data & Learning InfrastructureBuild the infrastructure agents need to learn from historical executions. PostgreSQL, BigQuery or equivalent data warehouses, ClickHouse or analytical databases, vector databases, embeddings, retrieval systems, event logs, feature stores, analytics pipelines, data ingestion.
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