--- title: 'AI Engineer at Brillio' canonical: 'https://feeny.ai/job/ai-engineer-brillio-dallas-m7rarwfmj6zx' type: 'job' last_seen: '2026-10-18' --- # AI Engineer at Brillio - **Company:** Brillio - **Location:** Dallas, TX - **Compensation:** $75k–$90k - **Work type:** onsite - **Posted:** 2026-10-12 - **Last confirmed live:** 2026-10-18 - **Apply:** https://jobs.lever.co/brillio-2/3de75f8b-9ddc-4908-b67d-d6e91bafd9e2 ## Job description 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](https://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. ## About Brillio ## Company Overview - **One-liner**: Brillio is a digital transformation consulting and technology services company that helps Fortune 1000 enterprises accelerate AI adoption and scale impact through its AI accelerator platform, ADAM. - **Entity Type**: Private (backed by Bain Capital Private Equity) - **Headquarters**: Dallas, Texas, United States - **Founded**: 2014 - **Founders**: Not publicly disclosed (CEO: Raj Mamodia) ## Core Business - **Primary industries**: IT Services and IT Consulting; Digital Transformation; AI and Data Engineering; Customer Experience Transformation; Digital Engineering; Infrastructure Engineering - **Target customers**: Fortune 1000 enterprises (B2B, Enterprise) - **Mission / purpose statement**: “The Enterprise AI Accelerator” – helping companies move from AI ambition to scaled impact, faster. ## Products & Services - **ADAM (Agentic Data and Application Management)**: A self-service LLM model garden and GenAI platform for building, testing, and deploying over a hundred GenAI use cases at scale. Core accelerator for Brillio’s delivery. - **Business-led transformation**: Strategy consulting and business process modernization. - **Customer experience transformation**: Design, digital product engineering, and omnichannel experience. - **AI and data engineering**: Predictive models, enterprise search, RAG systems, AI copilots, autonomous agents, multi-agent workflows. - **Digital engineering**: Application modernization, platform engineering, cloud-native development. - **Infrastructure engineering**: Cloud infrastructure, security, MLOps/LLMOps, and observability. ## Market Standing - **Valuation / Market Cap**: Not disclosed (privately held) - **Key Metric**: Annual revenue reported at **$1B** (latest available); total employees ~3,941 (+6.7% YoY) per LinkedIn, though company claims “over 6,000 customer-obsessed professionals” on its website. - **Notable Investors / Partners**: Bain Capital Private Equity (parent company); Great Place to Work® certified in the USA. - **Growth Signals**: +352 employees YoY; 14 delivery locations across North America, Europe, and Asia; expanding AI engineering roles; 616,797 LinkedIn followers (+24.4% yearly growth). ## Competitive Advantages - **Enterprise AI focus**: Industrializing AI across every layer of the business – not just building demos but shipping production systems. - **ADAM platform**: Proprietary accelerator that enables rapid deployment of GenAI use cases, shortening time-to-value for clients. - **End-to-end ownership**: Engineers design, build, evaluate, and run agentic and GenAI systems that reach live users. - **Scale and reach**: Global delivery footprint (USA, India, UK, Europe, Mexico, Canada, Romania) with deep Fortune 1000 client relationships. ## Strategic Focus - **AI engineering at scale**: Moving AI from pilots to production with a focus on agentic systems, LLMOps, evaluation, security, and governance. - **Continuous learning**: Brillio Academy, hackathons, mentoring, and certifications to keep skills current. - **Talent development**: Hiring based on demonstrated ability (not just degrees); clear career paths from engineer to AI architect or technical leadership. - **Diversity & inclusion**: Committed to a diverse, inclusive workplace; no discrimination based on protected characteristics. ## Why Work Here - **Culture**: Rated 4.0/5.0 on Glassdoor (2,264 reviews) and 4.0/5.0 on LinkedIn; 80% would recommend to a friend; Great Place to Work® certified in the USA. - **Work environment**: Engineers get meaningful ownership within clear guardrails – autonomy to make architecture and trade-off calls on their workstreams. - **Learning & growth**: Brillio Academy, hackathons, personalized career development framework; exposure to cutting-edge GenAI and agentic AI projects. - **Remote / hybrid / office**: Not explicitly stated, but global delivery locations suggest a mix of on-site and remote (roles posted across multiple countries). - **Benefits**: “BYou” wellness program built on four pillars of wellness – personal and professional well-being and development. - **Interview process**: Focus on software fundamentals, LLMs, RAG, agents, evaluation, and a design or debugging exercise; candidates should be ready to walk through a real system they shipped. ## Sources 1. [careers.brillio.com](https://careers.brillio.com/) 2. [brillio.com/about-us/who-we-are](https://www.brillio.com/about-us/who-we-are/) 3. [linkedin.com/company/brillio](https://linkedin.com/company/brillio) 4. [glassdoor.com/Reviews/Brillio-Reviews-E821879](https://www.glassdoor.com/Reviews/Brillio-Reviews-E821879.htm) 5. 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