Ambilio
Website:
ambilio.com
Job details:
Ambilio delivers AI and analytics solutions for enterprises, helping them design, build, and deploy innovative 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 coding tools such as Cursor, Lovable, or Google Stitch.
- Scripting skills in Python or Bash for automation and DevOps tasks.
- Strong problem-solving skills, curiosity, and ability to work independently in a fast-paced environment.
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