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Brillio

Technology consulting for AI-driven digital transformation

Full Stack AI Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeCoppell, TX, USA$75k - $90k /yrIn-person

About the Job

Requirements

  • The role requires 0–2 years of software engineering or application development experience, including relevant internships or hands-on project experience.
  • Candidates need computer science fundamentals, programming knowledge, and problem-solving capabilities.
  • Candidates need knowledge of Java/J2EE, Python, Node.js, and React.
  • Candidates need an understanding of Java microservices and modern full-stack application development.
  • Candidates need experience developing agentic AI applications or integrating AI agents into software solutions.
  • Candidates need familiarity with GitHub Copilot, Claude, Codex, or similar AI-assisted development tools.
  • Candidates need exposure to AWS or Microsoft Azure cloud development environments.
  • Candidates must be able to build, test, debug, and enhance software applications.
  • Candidates should be able to work effectively in a collaborative, fast-paced engineering environment.

Responsibilities

  • 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.
  • Use 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.
  • Lead with clients’ business priorities and build relationships grounded in relevance, trust, and measurable value.
  • Take accountability for the territory, pipeline, and results, and approach target accounts with the ambition to build a Brillio franchise.
  • Bring new ideas and perspectives that challenge conventional thinking and create reasons for clients to engage.
  • Maintain urgency, discipline, and momentum from initial access through contract closure.
  • Connect individual opportunities to broader client transformation agendas and Brillio’s long-term growth strategy.
  • Mobilize Brillio and its ecosystem to create differentiated propositions and win together.
  • Contribute to foundational technical decisions and help shape how AI-native applications are designed, developed, and delivered.

Desired Qualifications

  • Strong learning agility and enthusiasm for emerging technologies, particularly generative AI and intelligent automation.
  • Excellent communication, collaboration, and analytical skills.

About the Company

Brillio

Technology consulting for AI-driven digital transformation

Brillio helps organizations move their systems and processes into the digital world by providing technology consulting and customized AI and cloud-based solutions. The company works with large clients, including many Fortune 500 firms, and has a strong emphasis on the healthcare sector. Its offerings include designing and building tailored software and workflows that improve efficiency, security, and scalability, and enabling real-time, AI-powered interactions through generative AI tools. Customers typically engage Brillio through long-term support contracts or project-based work, paying for both advisory services and the implementation of technology solutions. Brillio’s goal is to help clients become ‘generative enterprises’—organizations that leverage AI and cloud technologies to continuously transform operations and user experiences, stay competitive, and drive measurable business outcomes.

Company size
5,001-10,000
Company stage
Late Stage VC
Total funding
Not listed
Headquarters
Dallas, TX
Founded
2014

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