AI Cloud Developer (AI-Native Engineer)
Duration: - 2027-03-18
Monthly Salary: ₹0.00 - ₹0.00
Job position: AI Cloud Developer
Job description
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.
Responsibilities
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Design and develop scalable AI-powered applications on modern cloud platforms
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Build and manage cloud-native backends, APIs, and microservices
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Collaborate with product and strategy teams to evaluate technical feasibility during solution design
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Architect reliable backend systems, including databases, server infrastructure, and integrations
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Integrate third-party AI services, LLM APIs, and cloud AI tools
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Monitor cloud systems, optimize performance, and troubleshoot production issues
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Ensure high availability, scalability, and cost efficiency of cloud resources
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Maintain secure cloud environments following best practices
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Write clean, modular, well-documented, and reusable code
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Debug AI-generated code and identify flaws in technical plans early
Requirements
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2+ years of experience in cloud development, backend engineering, or AI cloud projects
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Strong experience with at least one cloud platform (AWS, GCP, or Azure)
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Proficiency in Python, Node.js, PHP, or Java
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Hands-on experience building APIs and backend systems
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Familiarity with AI/ML frameworks (PyTorch, TensorFlow) OR strong experience integrating LLM APIs
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Experience with Docker and containerized deployments (Kubernetes is a plus)
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Solid understanding of databases (SQL/NoSQL) and cloud storage systems
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Experience with CI/CD pipelines and Git-based workflows
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Understanding of cloud security, networking, and monitoring tools
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Ability to own and deliver end-to-end cloud-based AI systems
Ideal Candidate
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Comfortable using AI coding tools but not dependent on them
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Strong debugging and system thinking skills
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Can balance speed (AI-assisted development) with engineering rigor
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Curious about emerging AI infrastructure and tooling