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Sr. Java Full Stack AI Engineer

Exclusive opportunity

Onsite

Sr. Java Full Stack AI Engineer

Digipulse Technologies Inc.

Sr. Java Full Stack AI Engineer

Skills

Google Cloud PlatformData EngineeringNodePythonJavaMachine LearningAIAWSGitHubKubernetesAzure

21 days ago

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Important information


Contract type:

Freelance / Contract

Location:

Covington, KY, USA

Work mode:

Onsite

Published on:

30 September 2026

What they need


Hi We are Hiring on W2 for our direct/End client.

Location: Covington, KY (Onsite role)

T op 4 Areas of Expertise/Role & Responsibilities percentage breakdown:

  1. Backend & Full Stack Engineering (25%)
  • Strong backend engineering background (role is heavily backend-focused)

  • Hands on experience with programming languages such as Java, Node.js, Python

  • Hands-on experience deploying and scaling applications within cloud environments such as AWS, Azure, or Google Cloud.

• Experience with modern platform engineering and DevOps practices, including containers, Kubernetes, Infrastructure-as-Code, and cloud-native architectures.

  • Familiarity with modern web application architectures

  • API design, development, and integration expertise

  1. AI & LLM Engineering (25%)
  • Experience leveraging Large Language Models (LLMs) to solve business problems

  • Strong understanding of prompt engineering, prompt management, and GenAI solution design

  • Experience working with GenAI developer tools such as: GitHub Copilot, Gemini, Claude

  • Familiarity with AI strategy, implementation, and scaling AI-driven solutions

  1. Data Platform Engineering (25%)
  • Strong data engineering experience

  • Experience with data pipelines, data stores, orchestration frameworks, and distributed systems

  • Understanding of machine learning workflows and AI-enabled applications

  • Experience deploying and scaling AI/ML solutions in production environments

  1. Cloud Architecture, Scale & Security (25%)
  • Cloud-native development experience

  • Kubernetes and containerized application deployment

  • Experience with deployment patterns and scalable system design

  • Understanding of secure, enterprise-grade architecture

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