AI Cloud Developer (AI-Native Engineer)

digitalxnode

Bengaluru, India 7 Years Exp Posted 34d ago

Key Responsibilities:

Plan and build scalable AI-driven applications on modern cloud platforms
Develop and maintain backend systems, APIs, and microservices for cloud services
Work with product and business teams to assess technical feasibility during solution design
Create robust backend architecture covering databases, cloud servers, and third-party integrations
Embed AI services, LLM APIs, and cloud AI tools into applications
Track cloud infrastructure health, tune system performance, and fix production incidents
Keep cloud environments secure, scalable, highly available, and cost-optimized
Write clean, reusable, and properly documented code aligned with standards
Review and debug AI-generated code and address technical gaps in development plans
Handle deployment, testing, and ongoing maintenance of cloud applications
Work with Docker and container-based deployment setups
Maintain CI/CD pipelines and Git-driven development processes
Apply cloud networking, observability, and security best practices
Improve backend systems and database efficiency for high-traffic applications
Partner with cross-functional teams to deliver complete AI cloud solutions
Support platform upgrades, issue resolution, and infrastructure enhancements
Explore new AI tools, cloud services, and development frameworks
Take full ownership of assigned cloud and AI engineering tasks

Solid experience with at least one cloud provider such as AWS, Azure, or GCP
Strong programming skills in Python, http://Node.js, PHP, or Java
Practical background building APIs, backend services, and cloud applications
Understanding of SQL and NoSQL databases
Experience with AI/ML frameworks like TensorFlow or PyTorch, or working with LLM APIs
Knowledge of Docker and containerized deployments
Comfort with Git workflows and CI/CD pipelines
Understanding of cloud networking, monitoring solutions, and security practices
Strong debugging, analytical, and troubleshooting abilities
Ability to design scalable, secure, and dependable backend systems
Good teamwork and communication skills
Capable of working independently and handling technical ownership
Clear understanding of backend architecture and cloud app design

Hands-on experience with Kubernetes and microservices patterns
Exposure to AI-assisted coding tools like Cursor, Claude Code, or GitHub Copilot
Familiarity with cloud storage services and distributed systems
Understanding of performance tuning and cost control on cloud platforms
Knowledge of DevOps practices and infrastructure automation
Experience supporting AI-powered enterprise applications
Background in building cloud-native applications at scale
- Interest in new AI infrastructure and modern cloud technologies