This role focuses on integrating AI capabilities into applications, including building MCP servers, context providers, and orchestration layers
Job Summary
This role focuses on integrating AI capabilities into applications, including building MCP servers, context providers, and orchestration layers.
Key responsibilities include designing, developing, and maintaining scalable microservices-based applications on a major cloud provider and implementing Infrastructure as Code.
Collaborate effectively with frontend engineers and work with Data Science, Applied AI, Platform, and Product teams to deliver end-to-end features.
Matching Summary
This role focuses on integrating AI capabilities into applications, including building MCP servers, context providers, and orchestration layers.
Skills & Requirements
Must-have
cloud-native development
microservices architecture
DevOps practices
Generative AI concepts
LLMs, RAG, Agentic AI
Infrastructure as Code
CI/CD pipelines
Nice-to-have
strong architectural thinking
systems problem-solving
curiosity and adaptability
excellent debugging skills
effective communication and collaboration
Key Requirements
5+ years of experience building cloud-native applications
Hands-on experience with AWS, Azure, or GCP
Hands-on experience with Docker and Kubernetes
Hands-on experience with CI/CD pipelines
Hands-on experience with Infrastructure as Code using Terraform, Pulumi, or native cloud frameworks
Working knowledge of LLMs, RAG, and Agentic AI concepts (6+ years experience)
Bachelor's or Master's degree in Computer Science, Engineering, or related field