AI Application Engineer: .NET/C# or Java, DevOps on AWS

Enexus Global Inc.

Austin (TX)

On-site

USD 110,000 - 180,000

Full time

2 days ago
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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

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.

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