Full stack AI engineer
🚀 Cube is Hiring — Full Stack AI Engineer
Cube is looking for a Full Stack AI Engineer to build intelligent, scalable products that combine solid engineering with modern AI/ML capabilities. If you enjoy shipping end-to-end features, prototyping ML-backed experiences, and working on high-impact use-cases — we'd love to hear from you.
What you'll do
- Design and implement full stack features (frontend + backend) that integrate AI/ML components.
- Build and productionize REST/GraphQL APIs and backend services.
- Integrate ML models or AI services into product flows; collaborate with ML engineers/data scientists.
- Ship high-quality, maintainable code and participate in code reviews and system design.
- Work on performance, monitoring, and scalable deployments.
Who we're looking for
- 1–4 years of professional experience in full stack development.
- Strong JavaScript/TypeScript skills and experience with a frontend framework (React / Vue / Angular).
- Backend experience (Node.js / Python / Go / Java) and working knowledge of databases (SQL & NoSQL).
- Familiarity with AI/ML concepts or hands-on experience integrating ML models or APIs.
- Comfort with cloud platforms, containers (Docker), and CI/CD workflows.
- Good product sense, problem-solving ability, and a collaborative mindset.
Perks & highlights
- Competitive compensation (indicative: ₹15–20 LPA).
- Opportunity to work on AI-first product features and grow with a fast-moving team.
- Fast hiring — role closing soon, so apply early.
Apply here:
Apply for Full Stack AI Engineer
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Tip: Include links to your GitHub, portfolio or projects that show AI/ML integrations, and mention any deployed services in your application to stand out.
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