GenAI Engineer

About the Role

We are seeking an experienced GenAI Engineer to design and build production-ready AI solutions leveraging modern agent frameworks and large language model (LLM) architectures. This role involves hands-on Python development, multi-agent orchestration, and GenAI application deployment in real-world environments.

What You’ll Be Up To

• Develop GenAI applications using frameworks such as LangGraph, Crew AI, or AWS Strands
• Design and optimize GenAI architectures, including LLMs, RAG pipelines, and multi-agent systems
• Implement vector and graph database integrations for advanced AI workflows
• Work on production-ready Python solutions using PyTorch or TensorFlow
• (Good to have) Build and expose REST APIs using FastAPI, Flask, or Django

Who You Are (Your Superpowers)

• 3+ years of Python development with production experience in TensorFlow / PyTorch
• Strong knowledge of LLM architectures, RAG pipelines, and agent-based AI frameworks
• Experience in multi-agent systems, vector & graph DBs, and AI workflow orchestration
• Exposure to API development and scalable AI deployment is a plus

Why Join Us

Join a forward-thinking AI team at RVAI Global, contributing to cutting-edge GenAI projects that drive enterprise transformation. Work on multi-agent, LLM-powered applications and solve real-world AI challenges in a collaborative, innovation-driven environment.