Full Stack Engineer AI Platform WFH

Read everything carefully. The requirements and screening questions are critical and if not answered correctly will result in rejection.

• 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.
• Candidates with 2-3 years experience are suitable

Company Description

Headquartered in McLean, Virginia, USA, Qubrid is a global provider of Artificial Intelligence (AI), Data Center and IoT products, solutions, and services. As pioneers in the realm of advanced computing technologies, we pride ourselves on being at the forefront of innovation, empowering businesses with the transformative capabilities of GPUs, Artificial Intelligence, Quantum Computing, IoT and more. We specialize in offering a wide array of hardware and software solutions for industries such as healthcare, manufacturing, finance, government, education and more.

Here’s a stronger, product-focused version aimed at attracting engineers who have actually deployed and optimized real-world AI systems—not just experimented with models.

Senior Full Stack SaaS Engineer

About the Role

We are looking for a highly experienced Senior Full Stack SaaS 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
• Must be a Python expert
• 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
• Must have Python and Node.js expertise
• Experience with open source AI models
• 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 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