:: Working Days : Monday - Friday :Hybrid :: Working Time : 08:00 - 17 :00 :: Job Description - - Determining the structure and design of web pages - Ensuring user experience determines design choices - Develop features to enhance the user experience - Develop the standards of codes and libraries such that they are easily traceable in the future - Striking a balance between functional and aesthetic design - Ensuring web design is optimized for multiple resolutions (Responsive Web Design) - Building reusable code for future use - Optimizing web pages for maximum speed and scalability - Utilizing a variety of markup languages to write web pages - Maintaining brand consistency throughout the design - Good analytical and problem -solving skills, creative, diligent, with a positive attitude towards teamwork - Complete tasks within the specified time - Understand the basics of IoT (Internet of Things) - Experience in JavaScript, CSS, and HTML - Understand the basics of working on the website, server, database :: Qualifications - - Bachelor or Master Degree in Engineering, Computer Science, Information Technology, or related field, GPA of 2.75 or higher is a plus - At least 1 year of work experience as web app, UX UI Designer, and IoT field, New graduate are welcome. - Knowledge in Customer insight research and Usability Testing tools and techniques - Customer-oriented, design Thinking, communication skill, Attention to Detail - Experience in JavaScript, CSS, HTML. - Knowledge in basics of working of website, server, database, Linux. - Knowledge in Dev Tools (e.g. MQTT protocol, AWS, ML, etc.) is a plus. - Knowledge in Vuejs is a plus. - Knowledge in Python is a plus.
Position: Software Engineer (full-stack) Department: Platform & Software Engineering Career Level: New Entry (DS1) | Junior Job Description: • We are looking for skilled developers who are willing to deliver quality software and continuously improve their technical skills, writing clean, scalable, and reusable codes. • We have many exciting and innovative projects and are keen to bring cutting-edge technology to meet our business’s expansion and customer needs. Here at [client], you will: • Work on diverse technologies and enterprise-grade platforms such as AWS GCP Azure, microservices, AI • Build and deliver quality products while working in a startup-like environment and improve our corporation’s development process with more prominent teams. • Participate in an Agile development team. Learn, apply and improve your development best practices. Job Qualifications Attitude: • You’re someone who’s smart, organized, motivated, and gets things done. • You like the idea of taking ownership of your work. • You have opinions about everything, and you’re not afraid to argue about your point (while respecting everyone else’s, of course). • You’re constantly thinking, “how can we do this better?”. Skill: • Proficient in any of the following programming languages: NodeJS/TypeScript, Python, etc. • Good understanding of single-page web technologies like ReactJS or VueJS. • Able or willing to write Automated Tests. • Familiar with Git workflow, Code review, Linting tools, and automated code quality checks. • Hands-on experience in any RDBMS database technologies. NoSQL is a plus. • Experience in CI/CD/IaC (infrastructure as code) pipelines. Education and Experience: • BS/MS degree in Computer Science, Engineering or a related subject • Exp about 2 years or above
Responsibilities • Design and build scalable end-to-end enterprise systems, bridging advanced frontends, mobile applications, and high-performance async backends. • Deploy, manage, and optimize the production inferencing of large machine learning models (TensorFlow, PyTorch) and Large Language Models (LLMs) within Agentic AI architectures. • Define robust GraphQL integration contracts to seamlessly connect AI outputs with core enterprise services. • Translate ambiguous business needs into concrete technical architectures and actionable engineering tasks. • Lead cross-functional engineering teams through the full delivery lifecycle to drive measurable business ROI. • Manage stakeholder expectations regarding realistic AI capabilities, mitigating risks, and defining strict project boundaries. • Optimize system performance across compute, memory, and network layers, including low-latency LLM inference and cost-efficient resource utilization (GPU/CPU). • Design secure systems with robust authentication/authorization (OAuth, RBAC), data privacy safeguards, and defenses against AI-specific threats such as prompt injection and data exfiltration. • Design and build scalable, event-driven systems that can handle high traffic reliably, using best practices to ensure data consistency and safe processing (e.g., avoiding duplicate or lost events).