Read everything carefully. The requirements and screening questions are critical and if not answered correctly and satisfactorily will result in auto-rejection and waste of your time.

- Work from Home.
- This is a full-time role. If you plan to do 2 or more jobs at the same time or want to do this part-time, that won't work for us. In that case please do not apply as it will get auto-rejected
- Note - this job requires working late night India time until 4AM to overlap with USA working times. Do not apply if this timing doesn't work
- Salary depends on experience and current verifiable (paychecks) compensation.
- Junior candidates with 2 years experience are suitable

We are searching for a startup guru who has hands on experience in working on full-stack technologies, back-end, database, expertise etc. Someone who has previous experience with owning a whole SaaS product and designs high-performing APIs, develops memberships and payment integration with Stripe. Someone who has hands on experience with AI products and has owned the whole product and roadmap from AI and back-end standpoint. Must be a coder, not just a user or project manager. Someone who is not shy in going overboard to launch a world-class product.

Company Description

Qubrid AI is building next-generation AI infrastructure focused on inference, GPUs, multi-model orchestration, and scalable AI deployments. Our mission is straightforward: democratize access to AI infrastructure - from developers spending their first $5 to enterprise-scale AI deployments processing billions of inference requests. We are looking for a deeply technical AI Engineer who can design and build production-grade AI systems end-to-end, not just create architecture diagrams.

Junior Backend AI Engineer

About the Role

We are looking for a highly experienced Junior Backend AI Engineer to architect, build, and scale modern SaaS platforms from the ground up.





This role is for someone who has real-world experience building complete SaaS products not just isolated frontend or backend features. The ideal candidate understands how to design and ship scalable, production-grade applications across the full stack, including:

- frontend systems,
- backend APIs,
- databases,
- authentication,
- billing,
- infrastructure,
- deployment pipelines,
- and multi-tenant SaaS architecture.

You will work closely with product, design, AI, and infrastructure teams to build reliable and scalable software products used in production environments. ResponsibilitiesFull Stack Product Development

- Design and develop end-to-end SaaS applications from scratch
- Build responsive and scalable frontend applications
- Develop secure backend APIs and microservices
- Implement authentication, authorization, RBAC, and user management systems
- Build billing, subscription, and usage-based systems
- Develop dashboards, admin panels, and workflow management systems

Backend & API Engineering

- Design scalable backend architecture and APIs
- Build high-performance REST and/or GraphQL services
- Implement asynchronous systems, queues, caching, and background jobs
- Optimize application performance, reliability, and scalability
- Integrate third-party APIs and services

Database Engineering

- Design and manage scalable database systems
- Work extensively with:
- PostgreSQL
- MongoDB
- MySQL
- SQL-based systems
- Design schemas, indexing strategies, query optimization, and data models
- Build systems for high availability, backups, migrations, and scaling

Infrastructure & Deployment





- Deploy and manage applications across cloud environments
- Work with:
- Docker
- CI/CD pipelines
- cloud infrastructure
- containerized deployments
- Build scalable production environments with monitoring and observability
- Collaborate with DevOps and infrastructure teams on deployment strategies

Engineering & Product Ownership

- Write clean, maintainable, and production-grade code
- Participate in architecture and technical design discussions
- Write technical documentation and implementation plans
- Review code and maintain engineering best practices
- Collaborate cross-functionally to ship features quickly and reliably

Requirements Must-Have

- Strong experience building complete SaaS platforms from scratch
- Experience with Python
- Deep full stack engineering experience across frontend and backend systems
- Strong experience with databases including PostgreSQL, MongoDB, MySQL, and SQL systems
- Experience designing scalable multi-tenant SaaS architectures
- Strong understanding of APIs, authentication systems, and application security
- Experience deploying and maintaining production systems in cloud environments
- Strong JavaScript/TypeScript and backend engineering skills

Preferred

- Experience with open source AI models
- Understanding of inferencing, tokens etc
- Experience with up-to-date frontend frameworks such as React or Next.js
- Familiarity with AI integrations and API-based AI products
- Experience with Redis, queues, caching systems, and event-driven architectures
- Familiarity with Kubernetes and distributed systems
- Startup or high-growth product experience

What We’re Looking For
- Someone who has built real SaaS products used by customers
- Strong product and systems-thinking mindset
- Ability to move quickly while maintaining engineering quality
- Ownership mentality with strong execution skills
- Someone comfortable working across the full stack without heavy supervision

📌 Junior Back End Engineer AI WFH (Kolkata)
🏢 Qubrid AI
📍 Kolkata