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Sr. Java Full Stack AI Engineer
Digipulse Technologies
4 hours ago
Full-time
On-site
Covington, Kentucky, United States
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:
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
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
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
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
Location: Covington, KY (Onsite role)
T op 4 Areas of Expertise/Role & Responsibilities percentage breakdown:
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
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
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
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