Position Details
About this role
This role involves designing, developing, and deploying AI-enabled backend services and workflows supporting enterprise AI applications. The engineer will work primarily in cloud environments, focusing on scalable, secure AI systems.
Key Responsibilities
- Design AI services
- Build backend APIs
- Contribute to frontend UI
- Implement multi-step AI workflows
- Integrate AI with enterprise data
Technical Overview
The technical scope includes AI architectures like LLMs and RAG, cloud deployment with Azure, containerization with Docker, and API development using Python, C#, Node.js, and TypeScript.
Ideal Candidate
The ideal candidate is a mid-level AI Engineer with strong experience in backend AI systems, cloud deployment, and modern AI architectures including retrieval-augmented generation. They should have proficiency in Python, RESTful APIs, and containerized environments, with a collaborative mindset.
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 cloud environments like Azure, No experience with AI architectures such as RAG, Inability to work onsite in Lenexa, KS
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