06 Aug
|
Qubrid AI
|
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 simple: 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 up-to-date 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 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 solid execution skills
Someone comfortable working across the full stack without heavy supervision
📌 Junior Back End Engineer AI WFH (Kolkata)
🏢 Qubrid AI
📍 Kolkata