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.
Required Qualifications
3+ years of professional full-stack development experience.
Front end (one or more): React / or Angular / or Vue.js.
Back end (one or more): Node.js / or Python (FastAPI/Django/Flask).
Strong proficiency in JavaScript/TypeScript, HTML5, and CSS3.
Experience designing and consuming REST or GraphQL APIs.
Solid with relational databases (PostgreSQL/MySQL) and ORMs; familiarity with Redis or DynamoDB is a plus.
Comfortable with Git-based workflows and pull requests.
Performance-minded: profiling, caching, pagination, bundle splitting, DB indexing.
Security basics: auth (OAuth2/JWT), input validation, OWASP awareness.
Soft Skills
Excellent problem-solving aptitude and strong communication skills.
Ability to work cross-functionally in agile teams and mentor peers.
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.
