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 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).

Key Responsibilities: -

- Design and build end-to-end full-stack applications across frontend, backend, and APIs.




- Develop cloud-native solutions leveraging modern platforms such as Azure, AWS, and GCP.
- Build and deploy agentic AI applications, including multi-agent systems and autonomous workflows.
- Implement scalable backend systems using microservices and event-driven architectures.
- Work with LLM-based frameworks and agent orchestration tools to create intelligent workflows.
- Ensure best practices in code quality, testing, debugging, observability, performance optimization, security, and scalability.
- Collaborate with cross-functional teams to translate business problems into technical solutions.
- Participate in design reviews and contribute to architectural decisions.

Required Qualifications: -

- B. Tech in Computer Science, or related disciplines, from IITs.
- Strong foundation in Data Structures & Algorithms, Object-Oriented Programming, Operating Systems, DBMS, and Networking.
- Proficiency in full stack programming with understanding of application development & deployment.

Technical Skills: -

Must Have

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.

Full Stack Development

Frontend: React,



Angular, Vue, or any modern JavaScript framework. Backend: Node.js, Java Spring Boot, Python FastAPI, or Django. Strong understanding of RESTful APIs and microservices design.

Cloud & DevOps

Hands-on exposure to Azure, AWS, or GCP. Understanding of containers using Docker, CI/CD pipelines, and basic Kubernetes concepts.

Agentic AI & Modern AI

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.

Preferred Qualifications: -

- Projects involving autonomous systems, multi-agent architectures, conversational AI, copilots, or AI-driven automation workflows.
- Familiarity with vector databases such as FAISS or Pinecone, and event streaming systems such as Kafka or Pub/Sub.
- Contributions to open-source projects or hackathons in AI/ML or full-stack domains.

What We Look For: -

- Solid 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.

📌 Lead AI Engineer (Bengaluru)
🏢 Brillio
📍 Bengaluru