AI Native Developers

JOB DESCRIPTION
AI-Native Full Stack Developer
Department: Technology & Product Engineering
Reports To : CTO
Location: India (Pune or Mumbai)
Employment Type: Full-Time
Experience: 3 years

About Leapswitch & CloudPe

Leapswitch Networks is an India-based cloud infrastructure company operating across India Europe and the US. We are building CloudPe () a next-generation public cloud platform powered by OpenStack offering VMs GPU-as-a-Service Kubernetes managed applications and a growing suite of intelligent AI products. Our mission is to make enterprise-grade cloud infrastructure accessible intelligent and delightfully simple.

We are building several internal and customer-facing products and we need developers who dont just write code but use AI as a force multiplier to ship faster think bigger and solve problems that would otherwise require a team 10 times the size.

Role Summary

We are looking for AI-native developers who are fluent in using AI assistants (Claude Codex Cursor GitHub Copilot etc.) as an integral part of their development workflow. You will design build and ship production software for Leapswitchs product suite leveraging AI to accelerate every stage from architecture to deployment. Deep understanding of the cloud infrastructure and AI industry is non-negotiable.

Key Responsibilities

1. Design and develop full-stack applications for Leapswitch products from concept to production deployment
2. Use AI tools (Claude Cursor Copilot Claude Code) daily as a core part of your development workflow for code generation architecture review debugging documentation and testing
3. Integrate with cloud infrastructure - OpenStack (Nova Neutron Cinder Magnum Glance) billing marketing support and other APIs
4. Build AI/ML-powered features including RAG pipelines LLM-based agents predictive analytics anomaly detection and natural-language interfaces for infrastructure management
5. Develop and maintain REST/GraphQL APIs event-driven microservices and real-time data pipelines
6. Work with GPU infrastructure understand GPU-as-a-Service and AI-as-a-Service delivery models
7. Collaborate cross-functionally with infrastructure sales and support teams to translate business requirements into technical solutions
8. Stay current with cloud and AI industry trends competitive landscape and emerging technologies

Required Skills & Qualifications

AI-Native Development (Must-Have)

• Demonstrated daily use of AI coding assistants (Claude ChatGPT Cursor GitHub Copilot Claude Code) in professional projects
• Ability to effectively prompt iterate and validate AI-generated code not just copy-paste but critically evaluate and refine
• Experience building applications that integrate LLM APIs (Anthropic Claude OpenAI) prompt engineering function calling structured outputs streaming
• Understanding of RAG architectures vector databases (pgvector Pinecone Weaviate) and embedding models
• Portfolio or examples demonstrating AI-augmented development velocity

Technical Skills

• Strong in Python and/or TypeScript/ (Bun Hono Express FastAPI Django)
• Frontend: React or with modern UI frameworks (Tailwind shadcn/ui)
• Databases: PostgreSQL Redis ClickHouse or similar; SQL fluency
• Cloud-native: Docker Kubernetes OpenStack APIs Terraform Ansible
• API design: REST GraphQL WebSockets event-driven patterns (Kafka RabbitMQ webhooks)
• Version control: Git GitHub/GitLab CI/CD (GitHub Actions GitLab CI)

Industry Knowledge (Must-Have)

• Solid understanding of cloud infrastructure concepts like virtualisation (KVM QEMU) networking (VLANs BGP SDN) storage (Ceph block/object storage) and compute
• Familiarity with the IaaS/PaaS/SaaS/GPU-aaS landscape pricing models and competitive dynamics
• Awareness of the AI/ML ecosystem - GPU hardware inference vs. training workloads
• Understanding of cloud billing metering and usage-based pricing models
• Interest in or experience with cloud security compliance and data sovereignty