Description

Key Skills: Large Language Models (LLMs), Agentic AI, Cloud Technologies, RAG Systems, Multi-agent Systems, GenAI Applications, AI Engineering, Software Development, Cloud Architecture, Model Integration

Good to Have Skills: Experience with intelligent automation workflows, enterprise-grade AI applications, AI lifecycle management including deployment, monitoring, optimization and governance. Knowledge of modern AI frameworks and scalable AI application development.

Roles & Responsibilities:

• Lead the design, development, and deployment of advanced AI-powered applications leveraging Large Language Models and cloud-native technologies.
• Architect and deliver next-generation AI solutions including multi-agent systems and Retrieval-Augmented Generation platforms.
• Work closely with product managers, data engineers, architects, and business stakeholders to transform requirements into AI-driven solutions.
• Build scalable and production-ready AI systems that solve complex business challenges using modern frameworks.
• Manage the entire AI lifecycle from model integration and orchestration to deployment, monitoring, and optimization.
• Contribute to the evolution of enterprise AI platforms and intelligent automation systems at scale.

Experience Required: 5+ years of experience in AI engineering with strong software development skills and cloud architecture knowledge

Key Skills

Education

Any Graduate