About the Role :

We are seeking exceptional graduates from IITs 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.