GenAI Engineer (Full-Stack AI Systems)
About the Role
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.
Key Responsibilities Design and Deploy AI Systems
• 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.
Full-Stack AI Integration
• 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.
Enterprise System Architecture
• 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.
Research and Innovation
• 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.
Collaboration and Stakeholder Engagement
• 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.
Apply tot his job
Apply To this Job
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.
Key Responsibilities Design and Deploy AI Systems
• 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.
Full-Stack AI Integration
• 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.
Enterprise System Architecture
• 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.
Research and Innovation
• 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.
Collaboration and Stakeholder Engagement
• 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.
Apply tot his job
Apply To this Job