Senior Software Engineer

NexGen Cloud is a fast-growing company building next-generation GPU cloud infrastructure. NexGen Cloud is the company behind Hyperstack, a cloud platform providing on-demand and private cloud infrastructure for high-performance workloads.

THE ROLE: Senior Software Engineer (AI Studio)

AI Studio is Hyperstack's fastest-growing product and an end-to-end GenAI platform that enables customers to fine-tune models, evaluate performance, and deploy production inference without managing infrastructure.

In this role, you will:
- Take ownership of critical product areas and underlying services across the AI Studio stack
- Design and build robust user-facing features, APIs, and backend systems that orchestrate model training, evaluation, and deployment at scale
- Play a key role in shaping technical direction by making architectural decisions and improving system reliability and performance
- Work closely with Product, Design, and other engineers to turn complex requirements into well-designed, production-ready solutions

Key Responsibilities:
- System ownership and technical design: Own design, implementation, and evolution of complex product areas and backend systems
- End-to-end software development: Build and maintain user-facing interfaces and backend services/APIs
- Code quality: Write clean, maintainable, well-tested code; lead code reviews
- Reliability & performance: Take responsibility for production readiness and operational health
- Technical Leadership: Support and mentor other engineers

Essential Requirements:
- Strong experience designing, building, and operating production backend systems and APIs with proficiency in Python and frameworks such as Flask
- Proven ability to own complex asynchronous, long-running workflows end to end
- Experience shipping full-stack features using modern web frameworks such as Next.js
- Practical understanding of AI Studio style workflows: model training, fine-tuning orchestration, evaluation, deployment, and inference
- Strong system design and architecture skills: API design, service boundaries, security, and data systems (SQL and NoSQL)
- Experience with Git, CI/CD, Docker, and Kubernetes

Nice to Have:
- Hands-on experience with LLMs, generative AI systems, or fine-tuning workflows
- Experience building AI platform capabilities: model versioning, evaluation tooling, deployment safety
- Exposure to GPU-intensive or distributed workloads