Position Details
About this role
This role involves leading the development of generative AI and RAG systems, managing cloud infrastructure, and ensuring scalable, reliable AI pipelines. The candidate will work heavily with Python, AWS, Kubernetes, and AI frameworks.
Key Responsibilities
- Own technical architecture
- Lead AI/RAG system development
- Manage AWS and Kubernetes infrastructure
- Improve AI pipeline reliability
- Collaborate on product expansion
Technical Overview
The technical environment includes Python with FastAPI, AWS cloud platform, Kubernetes for orchestration, PostgreSQL, and AI/RAG pipelines using LangChain, LangGraph, and LangSmith. The focus is on scalable AI infrastructure and multi-model inference.
Ideal Candidate
The ideal candidate is a senior AI engineer with over 6 years of experience in AI/RAG systems, cloud infrastructure, and backend development in Python. They should have leadership skills and experience managing complex AI pipelines and infrastructure.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with AI/RAG systems, No backend Python expertise, No experience with Kubernetes or AWS, No leadership experience
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