AI Application Engineer .NET/Java DevOps Cloud

Enexus Global Inc.; Austin (TX); On-site; USD 110,000 - 180,000; Full time

Job summary

Enexus Global Inc. seeks a hands-on AI Application Engineer to build and deploy AI-enabled enterprise applications. The role blends AI/GenAI development, application engineering, DevOps, and AWS cloud operations to deliver scalable solutions.

Ideal candidates have strong software engineering backgrounds with .NET/C# or Java, plus Python for AI integrations, and proven production deployment experience in cloud environments.

Qualifications

• Strong hands-on experience with AI/GenAI application development.
• Experience with LLMs, RAG, Agentic AI, AI APIs, and prompt engineering.
• Strong coding experience in .NET/C# preferred, or Java.
• Good working knowledge of Python for AI integrations.
• Strong experience with AWS Cloud.
• Hands-on experience with CI/CD, GitHub Actions, Kubernetes/EKS, IaC/Terraform, and GitOps.
• Experience deploying and supporting production applications in cloud environments.
• Good understanding of monitoring, security, observability, and production reliability.
• Ability to work across AI + Application Engineering + DevOps + AWS Cloud.

Responsibilities

• Build and deploy AI-enabled applications in production.
• Integrate AI solutions into enterprise applications and workflows.
• Ensure scalable, reliable deployments with CI/CD and cloud security in mind.

Skills

AI/GenAI

Application development

DevOps

Cloud

C#/.NET

Java

Python

Tools

GitHub Actions

Kubernetes/EKS

Terraform

IaC

GitOps

AWS Cloud

CI/CD

Job description

We are looking for a strong AI Application Engineer with hands-on experience across AI/GenAI, application development, DevOps, and Cloud.

The ideal candidate should come from a strong software engineering background with .NET/C# preferred, or Java, and should have experience building and deploying AI-enabled applications in production.

What We Are Looking For

• Strong hands-on experience with AI/GenAI application development
• Experience with LLMs, RAG, Agentic AI, AI APIs, and prompt engineering
• Strong coding experience in .NET/C# preferred, or Java
• Good working knowledge of Python for AI integrations
• Strong experience with AWS Cloud
• Hands-on experience with CI/CD, GitHub Actions, Kubernetes/EKS, IaC/Terraform, and GitOps
• Experience deploying and supporting production applications in cloud environments
• Good understanding of monitoring, security, observability, and production reliability
• Ability to work across AI + Application Engineering + DevOps + AWS Cloud

Ideal Profile

A hands-on AI application engineer who can build AI solutions, integrate them into enterprise applications, and also understands how to deploy, automate, and operate those applications in AWS.

Priority

AI + .NET/C# preferred (Java acceptable) + DevOps + AWS Cloud