Junior Software Engineer, AI Platforms (Kolkata)

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 easy: 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 modern frontend frameworks such as React or Next.Js - Familiarity with AI integrations and API-based AI products - Experience with Redi