Job opportunity

RemoteFulltime
Full Stack AI Engineer
AmbilioRemotePosted 30+ days ago
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Role overview

Role details

This is a remote position. 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. ### Benefits Virtual / Remote job

Skills

IAMGitHub ActionsJenkinsDockerKubernetesTerraformPythonBashLLMsAWSDevOps

Details

Workplace

Remote

Source

Zohorecruit

Date posted

Aug 12, 2026

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