Senior AI Engineer

About Brillio: -

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 growing at nearly 60% YoY since its inception, Brillio is one of the fastest growing digital technology service providers.

We help clients harness the transformative potential of cloud computing, IoT, artificial intelligence, and mobility. Born digital in 2014, Brillio applies Customer Experience Solutions, Data Analytics and AI, Digital Infrastructure and Security, and Platform and Product Engineering expertise to help clients innovate quickly, create digital products, build service platforms, and drive smarter, data-driven performance.

With delivery locations across the United States, UK, Romania, Canada, Mexico, and India, Brillio has a global workforce of over 6,000 Brillians. Brillio was awarded Great Place To Work in 2024 and 2025. Learn more at www.Brillio.com.

About the Role: -

We are seeking exceptional Computer Science/Math and Computing/ Data Science(2026 Graduates) from IITs only who are passionate about building next-generation intelligent applications powered by Agentic AI, Cloud Native technologies, and Modern Full Stack Engineering.

As an Agentic AI Engineer, you will work on cutting-edge enterprise solutions that combine Large Language Models, autonomous AI agents, cloud platforms, and scalable software architectures to solve complex business challenges for global clients.

Key Responsibilities: -

Agentic AI Development

Build intelligent AI agents and autonomous workflows. Develop solutions using modern LLM frameworks and orchestration platforms. Design RAG applications and enterprise copilots. Implement agent collaboration and decision-making systems.

Full Stack Engineering

Design and develop end- to -end web applications. Build scalable backend services and APIs. Develop enterprise-grade frontend experiences using modern frameworks. Deliver secure, maintainable, high-performance software solutions.

Cloud & Platform Engineering

Build cloud-native applications on Azure, AWS, and GCP. Contribute to microservices-based architecture. Implement DevOps and CI/CD best practices. Support deployment automation and platform scalability initiatives.

Engineering Excellence

Participate in architecture reviews and technical design discussions. Drive code quality, testing, observability, and performance optimization. Collaborate with architects, product teams, and client stakeholders. Contribute to innovation initiatives across AI and engineering domains.

Required Qualifications: -

Education

B. Tech in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related disciplines from IITs. Final-year students and recent graduates are eligible.

Core CS Fundamentals

Data Structures & Algorithms, Object-Oriented Programming, Operating Systems, Database Management Systems, and Computer Networks.

Agentic AI & Generative AI

Experience through academic projects, internships, or research involving Large Language Models, AI Agents, Autonomous Workflows, Prompt Engineering, RAG Architectures, and Agent Orchestration Patterns.

Preferred Frameworks

LangChain, LlamaIndex, Semantic Kernel, AutoGen, and CrewAI.

Programming

Proficiency in one or more of Python, Java, JavaScript, or TypeScript.

Cloud & DevOps

Azure, AWS, or Google Cloud Platform; Docker; CI/CD Pipelines; Kubernetes preferred.

Full Stack Development

Frontend: React, Angular, Vue.js. Backend: Node.js, Java Spring Boot, FastAPI, Django. Architecture: REST APIs and Microservices Design Patterns.

What We Look For: -

• Strong problem-solving mindset and curiosity to learn emerging technologies.

• Ability to think in terms of systems, not just components.

• Passion for building production-grade intelligent applications.

• Good communication and collaboration skills.

What You'll Gain: -

• Opportunity to work on Agentic AI platforms and real-world enterprise use cases.

• Mentorship from experienced architects and engineers.

• Exposure to large-scale distributed systems and modern data platforms.

• Fast-tracked learning in AI, Cloud, and Full Stack convergence.