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Brillio

AI Engineer

Dallas, Texas, United States

Location
Dallas, Texas, United States
Work
On-site
Employment
Full-time
Level
Not stated
Function
Data & AI
Pay
$75K – $90K a year
Posted
3 weeks ago

About the role

Brillio is the partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Backed by Bain Capital private equity and Orogen Group, and growing rapidly since its inception, Brillio is one of the fastest growing digital technology service providers. We help clients harness the transformative potential of the four superpowers of technology - cloud computing, internet of things (IoT), artificial intelligence (AI), and mobility. Born digital in 2014, we apply Customer Experience Solutions, Data Analytics and AI, Digital Infrastructure and Security, and Platform and Product Engineering expertise to help clients quickly innovate for growth, create digital products, build service platforms, and drive smarter, data-driven performance.

With delivery locations across the United States, Romania, Canada, Mexico, and India, our growing global workforce of over 5500 Brillians blends the latest technology and design thinking with digital fluency to solve complex business problems and drive competitive differentiation for our clients. Brillio was awarded ‘Great Place To Work consistently. Learn more www.Brillio.com.

Role Title: Full Stack AI Engineer

Location: Coppell, TX

Experience: 0–2 Years

Type: On-site

The Role

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.

Key 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.
  • 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.

What We Are Looking For?

  • 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.

Big Picture Thinking – Connect individual opportunities to broader client transformation agendas and Brillio's long term growth strategy.

Winning Through Teams – Mobilize the best of Brillio and its ecosystem to create differentiated propositions and win together.

Why Join Brillio?

Be a Founding Engineer. Build the Future of AI-Native Applications.

This is more than an entry-level engineering opportunity. It's a chance to join as a Founding Engineer, helping build the next generation of AI-native applications from the ground up.

You'll work at the forefront of emerging AI technologies, developing intelligent applications, integrating AI agents, and transforming innovative ideas into real-world solutions.

You'll have the opportunity to make a meaningful impact from day one, contribute to foundational technical decisions, and help shape how AI-native applications are designed, developed, and delivered.

If you're passionate about coding, excited by artificial intelligence, and eager to build technology that defines the future, we want to hear from you.

Source

Posted by Brillio on their own hiring page, jobs.lever.co. OptiTalent shows it as published, read 07 Nov 2026 01:07 UTC; the original is the reference.

View the original ad ↗

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