Conversion to Permanent Position: Interns who excel at their tasks and are a good fit for the company will be offered a permanent position after the internship period in their desired field.
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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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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