GenAI Engineer (Full-Stack AI Systems)

We are looking for a GenAI Engineer with a strong full-stack engineering background who has transitioned into building AI-powered applications and agentic systems over the past few years.

The ideal candidate is someone who understands how to integrate AI deeply into enterprise-grade systems, combining expertise in backend architecture, APIs, cloud infrastructure, and modern generative AI frameworks.

This role focuses on building production-ready AI systems, not just experimentation. You will work across the entire stack to design, develop, and deploy AI-driven solutions that solve real business problems and improve operational efficiency.

• Design, develop, and deploy AI-powered applications using LLMs and modern GenAI frameworks.

• Build and maintain scalable AI services, APIs, and backend systems.

• Implement agentic workflows, retrieval-augmented generation (RAG), and AI orchestration pipelines.

• Integrate AI models into enterprise applications across the full technology stack.

• Develop backend services, APIs, and data pipelines that support AI-powered features.

• Work with frontend teams to enable AI-driven user experiences.

• Architect and maintain production-ready AI infrastructure on cloud platforms.

• Ensure scalability, security, and reliability of AI services.

• Optimize system performance and AI model usage.

• Stay up-to-date with the latest advancements in Generative AI, LLMs, and agentic architectures.

• Evaluate and implement new tools, frameworks, and architectures to improve AI capabilities.

• Work closely with product managers, engineers, and business stakeholders to define requirements.

• Translate business challenges into scalable AI-driven solutions.

• Communicate technical concepts clearly to both technical and non-technical audiences.