We are looking for developers who are comfortable building with AI tools like Cursor, Claude Code, and GitHub Copilot - but also have strong foundational coding skills to debug, architect, and scale real-world systems.This role is ideal for engineers who can move fast with AI-assisted development while still thinking deeply about architecture, reliability, and scalability.
Design and develop scalable AI-powered applications on modern cloud platforms
Build and manage cloud-native backends, APIs, and microservices
Collaborate with product and strategy teams to evaluate technical feasibility during solution design
Architect reliable backend systems, including databases, server infrastructure, and integrations
Integrate third-party AI services, LLM APIs, and cloud AI tools
Monitor cloud systems, optimize performance, and troubleshoot production issues
Ensure high availability, scalability, and cost efficiency of cloud resources
Maintain secure cloud environments following best practices
Write clean, modular, well-documented, and reusable code
Debug AI-generated code and identify flaws in technical plans early
2+ years of experience in cloud development, backend engineering, or AI cloud projects
Strong experience with at least one cloud platform (AWS, GCP, or Azure)
Proficiency in Python, Node.js, PHP, or Java
Hands-on experience building APIs and backend systems
Familiarity with AI/ML frameworks (PyTorch, TensorFlow) OR strong experience integrating LLM APIs
Experience with Docker and containerized deployments (Kubernetes is a plus)
Solid understanding of databases (SQL/NoSQL) and cloud storage systems
Experience with CI/CD pipelines and Git-based workflows
Understanding of cloud security, networking, and monitoring tools
Ability to own and deliver end-to-end cloud-based AI systems
