> Markdown version of [/jobs/ext/4165945-ai-engineer](https://www.wearedevelopers.com/jobs/ext/4165945-ai-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). --- # AI Engineer - **Company:** Brillio - **Location:** Coppell, TX, United States - **Experience:** Starter - **Salary:** $75,000.0 - $90,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Software Applications, Application Testing, Microsoft Azure, Computer Programming, Software Debugging, Programming Tools, Java Platform Enterprise Edition (J2EE), Python (Programming Language), Node.Js, Performance Tuning, Rapid Prototyping Process, Software Engineering, Software Systems, Systems Integration, Web Applications, GitHub Copilot, ReactJS, Backend, Agentic-AI, AI Platforms, Claude, Virtual Agents, Microservices - **Published:** October 14, 2026 - **Apply:** https://www.careerjet.com/job/us770a3106f8a460ad648db03e79647bfc/eaa ## About the Role * 0-2 years of software engineering or application development experience, including relevant internships or hands-on project experience. * Strong computer science fundamentals, programming knowledge, and problem-solving capabilities. * Knowledge of Java/J2EE, Python, Node.js, and React. * Understanding of Java microservices and modern full-stack application development. * Experience developing agentic AI applications or integrating AI agents into software solutions. * Familiarity with GitHub Copilot, Claude, Codex, or similar AI-assisted development tools. * Exposure to AWS or Microsoft Azure cloud development environments. * Ability to build, test, debug, and enhance software applications. * Strong learning agility and enthusiasm for emerging technologies, particularly generative AI and intelligent automation. * Excellent communication, collaboration, and analytical skills. * Ability to work effectively in a collaborative, fast-paced engineering environment. Candidates should demonstrate the below listed critical leadership qualities: Customer Advocacy - Lead with the client's business priorities and build relationships grounded in relevance, trust and measurable value. Owner's Mindset - Take accountability for the territory, pipeline and results; approach every target account with a clear ambition to build a meaningful Brillio franchise. Innovation Ethos - Bring new ideas and perspectives that challenge conventional thinking and create reasons for clients to engage. Execution with Pace - Maintain urgency, discipline and momentum from initial access through contract closure. ## Description Brillio is seeking motivated and technically skilled Full Stack AI Engineers to join our growing engineering team. This role focuses on building cloud-native, full-stack applications and integrating artificial intelligence capabilities through hands-on development, rapid prototyping, and modern software engineering practices. The ideal candidate will have a strong foundation in programming and application development, with knowledge of Java, Python, React, and Node.js, along with experience developing agentic AI applications. This is an exciting opportunity for early-career engineers to work with emerging AI technologies, contribute to innovative application development, and gain practical experience delivering modern digital solutions., * Design, develop, and maintain Java-based microservices and modern web applications. * Build responsive, scalable frontend applications using React and backend services using Node.js. * Develop and integrate AI services, intelligent agents, and AI-powered development accelerators into applications. * Contribute to the development of agentic AI applications and intelligent automation workflows. * Build prototypes and proof-of-concept solutions to evaluate new technologies and business use cases. * Collaborate with engineering teams to develop, test, troubleshoot, and deliver software solutions. * Support cloud-native application development using AWS or Microsoft Azure. * Leverage AI-assisted development tools such as GitHub Copilot, Claude, Codex, or similar platforms to accelerate development. * Participate in application testing, debugging, performance optimization, and production delivery. * Stay current with emerging AI technologies, software engineering practices, and development tools.