The Full-Stack Engineer will develop and maintain web applications, collaborate across teams for features, and ensure performance and security across front-end and back-end stacks.
            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.
 
Top Skills
Angular
AWS
Bitbucket Pipelines
Chart.Js
CSS3
Cypress
D3
Django
Docker
DynamoDB
Fastapi
Flask
Github Actions
HTML5
JavaScript
Jest
JSON
Junit
Kafka
MySQL
Node.js
Onnx Runtime Web
Playwright
Plotly
Postgres
Pytest
Python
React
Recharts
Redis
Sns
Sqs
Tensorflow.Js
Typescript
Vitest
Vue
Webrtc
Websockets
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