- Collaborative Environment: Work alongside talented engineers, designers, and product managers in a supportive and inclusive team that values open communication and shared success.
- Growth Opportunities: We invest in your professional development through mentorship, training, and access to conferences and certifications.
- Modern Tech Stack: Work with cutting-edge technologies and tools in cloud-native environments, microservices, and modern frontend frameworks.
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Prepare web-ready assets — banners, product visuals, and campaign graphics that are properly sized, optimised, and consistent across desktop and mobile.
Collaborate with developers and marketers — hand off designs cleanly, understand basic web constraints (responsive layouts, image weights, above-the-fold), and iterate based on real client feedback.
1–2 years of design experience (agency, in-house, or strong freelance/internship work — fresh grads with an exceptional portfolio are welcome to apply)
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Adapt and tailor technology solutions to ensure compliance with regional requirements, including security practices, data regulations and other local needs
Provide ongoing technical support and expertise to regional users, ensuring high system performance and minimizing operational disruptions
Contribute to the full application lifecycle, from initial concept and development through to deployment and ongoing maintenance and support
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Livestream Assets: Design OBS assets including 3D backdrops, animated stickers, and promo overlays.
Storefront Maintenance & Mega sales DDAY Support: Manage routine storefront updates (~4x/month) and provide standby support during major double-digit sales campaigns (e.g., 11.11).
O2O Design: Design for Online and Offline retail environments, including OOH (out of home), In-store visibility, Ecommerce store, and in-store media for key retailers
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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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