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qubrid ai

Junior Back End Engineer AI WFH

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Job Description

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 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 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

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About Company

Job ID: 149134511