Help align the design system with company goals by improving efficiency, consistency, and scalability across product teams and brands
Participate in conversations and workshops with stakeholders, users, and contributors to ensure system scalability and strong relationships
Explore and apply AI-assisted development workflows to help the team work more effectively, improve quality, strengthen documentation, and create a better developer experience
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Help align the design system with company goals by improving efficiency, consistency, and scalability across product teams and brands
Participate in conversations and workshops with stakeholders, users, and contributors to ensure system scalability and strong relationships
Explore and apply AI-assisted development workflows to help the team work more effectively, improve quality, strengthen documentation, and create a better developer experience
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You will work across the entire stack — from frontend experiences and APIs to distributed systems, data infrastructure, LLM orchestration, agentic workflows, evaluation systems, and autonomous optimization loops.
The ideal candidate has deep hands-on experience with Claude/Anthropic models, agentic architectures, tool-use, multi-step reasoning, autonomous execution loops, and AI-driven self-optimization.
You should be comfortable asking: "How can we make the system improve itself rather than requiring an engineer to manually optimize every workflow?"
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You will work across the entire stack — from frontend experiences and APIs to distributed systems, data infrastructure, LLM orchestration, agentic workflows, evaluation systems, and autonomous optimization loops.
The ideal candidate has deep hands-on experience with Claude/Anthropic models, agentic architectures, tool-use, multi-step reasoning, autonomous execution loops, and AI-driven self-optimization.
You should be comfortable asking: "How can we make the system improve itself rather than requiring an engineer to manually optimize every workflow?"
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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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You will work across the entire stack — from frontend experiences and APIs to distributed systems, data infrastructure, LLM orchestration, agentic workflows, evaluation systems, and autonomous optimization loops.
The ideal candidate has deep hands-on experience with Claude/Anthropic models, agentic architectures, tool-use, multi-step reasoning, autonomous execution loops, and AI-driven self-optimization.
You should be comfortable asking: "How can we make the system improve itself rather than requiring an engineer to manually optimize every workflow?"
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Work with Service Center to ensure average turn around time (TAT) is within agreed KPI thresholds.
Create a weekly report to send to the Info Systems Project Management team to assist them in reviewing incidents to determine what events have occurred that may be operational losses.
Work with Service Center to ensure average turn around time (TAT) is within agreed KPI thresholds.
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Assess the commercial potential and technical readiness levels of internal R&D projects for potential spin-offs or new business incubation.
Bachelor's degree in Engineering (e.g., Electrical, Mechanical, Chemical, Software, Materials Science, Biomedical) or a relevant scientific discipline from an accredited institution.
Master's or Ph.D. in a relevant engineering or scientific field is highly preferred.
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CNS Worldwide Executive Search is looking for a Support & Field Services Engineer on behalf of our client, a specialised American-French technology company providing environmental monitoring and compliance solutions to the pharmaceutical, healthcare, laboratory, and medical device sectors.
This is an exciting opportunity for a hands-on technical professional who enjoys solving problems, working directly with customers, and travelling across the APAC region.
Based in Petaling Jaya, you will join a close-knit APAC team and gain broad exposure across technical support, field services, system implementation, customer training, and engineering projects.
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CNS Worldwide Executive Search is looking for a Support & Field Services Engineer on behalf of our client, a specialised American-French technology company providing environmental monitoring and compliance solutions to the pharmaceutical, healthcare, laboratory, and medical device sectors.
This is an exciting opportunity for a hands-on technical professional who enjoys solving problems, working directly with customers, and travelling across the APAC region.
Based in Petaling Jaya, you will join a close-knit APAC team and gain broad exposure across technical support, field services, system implementation, customer training, and engineering projects.
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Responsible for identifying, analyzing and responding to risks that are likely to affect the projects.
Responsible for project status, performance and forecasting reporting to the management/customer.
Coordinate the purchase of equipment, material and services in a timely and efficient manner based on the contractual schedule and project specifications.
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Technical Leadership & Solution Ownership: Lead the technical direction of AI initiatives by driving architecture decisions, establishing best practices, mentoring team members, and guiding the end-to-end delivery of scalable AI solutions.
Collaboration & Delivery: Work with Product Owner, Developers, Quality Engineers and UX Designers to deliver the Virtual Companion. Contribute to sprint planning, code reviews and documentation.
Bachelor’s degree or above, with 5-8 years in software development and relevant experience in leading AI/ML development project
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Collaborate and design solutions for challenging yet unique problems across hardware and software platforms, including servers, RAID, and various operating systems (Windows and Linux).
Participate in planning and coordinating significant technical investigations from problem statements to conclusions.
Creates design documents pertinent to the various phases of firmware development.
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Collaborate and design solutions for the challenging yet unique problems across hardware and software platforms, including servers, RAID, and various operating systems (Windows and Linux).
Participate in planning and coordinating significant technical investigations from problem statement to conclusion.
Creates design documents pertinent to the various phases of firmware development.
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