> Markdown version of [/jobs/ext/3644603-full-stack-engineer](https://www.wearedevelopers.com/jobs/ext/3644603-full-stack-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Full Stack Engineer - **Company:** Digipulse Technologies Inc. - **Location:** Newport, KY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Cloud Computing, Cloud Engineering, Information Engineering, Data Infrastructure, Data Stores, Programming Tools, Distributed Systems, Python (Programming Language), Machine Learning, Node.Js, Web Applications, GitHub Copilot, Large Language Models, Prompt Engineering, Generative AI, Backend, Kubernetes, Enterprise Integration, Machine Learning Operations, Claude, Api Design, Google Gemini, Data Pipelines, Programming Languages - **Published:** October 9, 2026 - **Apply:** https://www.disabledperson.com/jobs/75938186-full-stack-engineer ## About the Role * Experience leveraging Large Language Models (LLMs) to solve business problems * Strong understanding of prompt engineering, prompt management, and Gen AI solution design * Experience working with Gen AI developer tools such as: GitHub Copilot, Gemini, Claude * Familiarity with AI strategy, implementation, and scaling AI-driven solutions 2. 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 * Familiarity with modern web application architectures * API design, development, and integration expertise 3. 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 4. Cloud Architecture, Scale & Security (25%) * Cloud-native development experience * Kubernetes and containerized application deployment * Experience with deployment patterns and scalable system design