GenAI Engineer (Full-Stack AI Systems)

About this role

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
**s...