Job Description
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.
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