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Brillio in Bengaluru is seeking high-potential Computer Science/Mathematics & Computing/Data Science graduates from IITs (1–3 years) to build next-generation intelligent applications. This role focuses on developing full-stack systems powered by cloud-native architectures and agentic AI frameworks, enabling autonomous, adaptive, and scalable digital solutions.
As part of our engineering team, you will work on cutting-edge problems at the intersection of software engineering, cloud platforms, and
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.
We are looking for high-potential Computer science/ Mathematics & Computing/ Data Science( 1 to 3 years) graduates from IITs, working in industry, who are passionate about building next-generation intelligent applications. This role focuses on developing full-stack systems powered by cloud-native architectures and agentic AI frameworks, enabling autonomous, adaptive, and scalable digital solutions.
As part of our engineering team, you will work on cutting-edge problems at the intersection of software engineering, cloud platforms, and AI-driven autonomous systems (agents).
Good experience building end-to-end full-stack applications across frontend, backend, and APIs. Ability to develop cloud-native solutions on Azure, AWS, or GCP. Exposure to agentic AI applications, multi-agent systems, and autonomous workflows.
Hands-on exposure to Azure, AWS, or GCP. Understanding of containers using Docker, CI/CD pipelines, and basic Kubernetes concepts.
Experience through academic work, projects, internships, or industry exposure in building AI agents or workflows using LLMs. Familiarity with LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, or similar frameworks. Understanding of prompt engineering, RAG, tool usage, and agent orchestration patterns.