Full Stack Engineer - Embodied AI

About the role

A well-funded US-based embodied AI company, with its engineering team in Singapore, is hiring a Full Stack Engineer through a partner consultancy. The engineer owns the apps, tools and websites that run the business, from internal dashboards and admin tooling to vendor and customer-facing portals. It is a high-ownership, hands-on role for someone who turns vague requests into shipped products, works directly with end users and moves fast without compromising quality.

Key responsibilities

• Dashboards and internal tools: build dashboards for managers and leadership covering collection progress, QA throughput, vendor performance and delivery status, plus task queues, review UIs, admin consoles, bulk-edit tools and lookups that replace spreadsheets and ad-hoc scripts.
• Vendor and customer apps: build vendor-facing apps for onboarding, large-file upload, metadata capture, equipment management, status tracking and self-serve issue resolution, and customer portals for dataset delivery, browsing, previews, delivery dashboards and reports.
• Backend and infrastructure: design APIs, PostgreSQL schemas and migrations, and integrations with data pipelines, storage and third-party services; own access control for external users (organisations, SSO, roles and scopes); ship with tests, CI/CD and monitoring, and support production systems.
• Product and process: gather requirements from managers, ops leads, vendors and customers, scope a first version and iterate quickly, maintain a consistent component and design system, and write short docs and runbooks.

Required profile

• At least 3 years building and shipping production web applications end to end, including frontend, backend, database and deployment.
• Experience building data-heavy dashboards and admin tools that stay fast as data grows.
• Experience with authentication and authorisation for external users: SSO/OAuth, multi-tenant organisations and role-based access.
• Comfortable on AWS (S3, containers, managed Postgres) and with infrastructure-as-code such as Terraform.
• Product instinct, clear written communication, and comfort working directly with external vendors and customers.
• Fluent with AI coding tools (Claude Code, Cursor or similar).

Required skills

• Strong TypeScript and React with modern tooling (Vite, Tailwind, TanStack Query or similar)
• Strong backend skills in Python (FastAPI or similar) and real fluency in SQL and PostgreSQL data modelling