Full-Stack Engineer

We’re seeking a hands-on Full-Stack Engineer to build intuitive, high-performance web applications and admin dashboards end-to-end. You’ll collaborate with development, design, and AI research teams to turn ideas into secure, scalable features across modern front-end frameworks and back-end services.

Preferred Qualifications:

• Next.js (App Router), TanStack Query/RTK Query on the front end.
• Cloud & DevOps: Docker, AWS (ECS/Lambda/S3/CloudFront/RDS), CI/CD (GitHub Actions/Bitbucket Pipelines).
• Testing: Jest/Vitest, Cypress/Playwright, Pytest/JUnit; contract and integration testing.
• Realtime: WebSockets/WebRTC; background jobs and message queues (SQS/SNS/Kafka).
• Experience with Client-Side ML Libraries.
• TensorFlow.js for in-browser inference/training.
• ONNX Runtime Web/ onnx.js for standardized model runtimes in the browser.
• Data Handling & Formatting: Work fluently with JSON; structure payloads to match model input/output contracts; visualize results clearly (charts, overlays, timelines).
• Awareness of model limitations: account for inference latency; use loading/skeleton states, timeouts, and graceful fallbacks.
• Experience with data visualization (Recharts/ Chart.js/Plotly/D3).

Responsibilities:

• Build reusable UI components and front-end features with React / Angular / Vue.
• Design, implement, and maintain back-end services using Node.js / Python / Java.
• Model data, write efficient queries, and tune performance (indexes, caching).
• Integrate REST/GraphQL APIs, WebSockets, and third-party services.
• Integration ML/AI endpoints (REST/GraphQL) asynchronously (fetch/axios), handle retries, timeouts, and error states gracefully.
• Ensure apps are responsive, accessible (a11y), and cross-browser compatible.
• Implement authentication/authorization, input validation, and secure coding practices.
• Add observability: meaningful logs, metrics, traces; participate in on-call/triage as needed.
• Write and maintain unit/integration/e2e tests; participate in code reviews.
• Collaborate in agile ceremonies—refinement, planning, stand-ups, and retrospectives.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.