Ambilio delivers AI and analytics solutions for enterprises, helping them design, build, and deploy creative AI-powered applications that create measurable business impact. Our learning and talent initiative, Incubity, focuses on building real-world AI and DevOps skills through projects, mentoring, and enterprise training programs.
Role Overview
We are looking for a Full Stack AI Engineer with 1-2 years of experience. This role blends full stack AI application development with cloud deployment and infrastructure management. You will work closely with our AI, full-stack, and DevOps teams to develop, deploy, and manage AI-powered enterprise applications in real-world environments.
Key Responsibilities
Design, develop, and deploy AI and LLM-based applications for Ambilio’s consulting and product initiatives.
Build and experiment with agentic AI systems and autonomous workflows.
Deploy, monitor, and manage AI applications in production using AWS services.
Set up and maintain CI/CD pipelines for continuous deployment.
Configure and manage containers (Docker, ECS/EKS)
for scalable deployments.
Integrate multiple AI and application components into a unified enterprise platform.
Build sandbox or playground environments for experimentation and testing.
Implement multi-tenant management, security, monitoring, logging, and automated backups.
Collaborate with developers and data scientists to troubleshoot deployment and performance issues.
Optimize cloud resources and ensure reliability and cost efficiency.
Requirements
1-2 Years experience and AI application development and deployment
Understanding of AWS Cloud Infrastructure (EC2, ECS/EKS, S3, RDS, IAM, Load Balancers).
Familiarity with CI/CD pipelines (GitHub Actions, Jenkins, or similar).
Experience with Docker, Kubernetes, and container orchestration.
Exposure to infrastructure as code tools (Terraform, CloudFormation, etc.).
Knowledge of LLM application development and agentic AI architectures.
Hands-on with vibe cod
📌 Full Stack AI Engineer (India)
🏢 Ambilio
📍 India