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Sr. Java Full Stack AI Engineer
Digipulse Technologies Inc.
1 hour 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)
Check you match the skill requirements for this role, as well as associated experience, then apply with your CV below.
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 xsgimln • 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
Check you match the skill requirements for this role, as well as associated experience, then apply with your CV below.
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 xsgimln • 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