Role overview
Title:
AI Engineer
Industry:
Technology
Location:
Raleigh, NC
Responsibilities
- Build enterprise-level distributed services for AI systems using modern technology stacks.
- Develop front-end interfaces and integration with back-end services for AI products.
- Containerize and orchestrate AI products in hybrid cloud architectures.
- Optimize system performance for back-end services and data interactions.
- Produce technical documentation and provide support for post-delivery operations.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or related fields; Master’s or PhD preferred.
- 5+ years of back-end and full-stack engineering experience.
- Experience with cloud-native and microservice system development.
- Familiarity with the software development lifecycle (SDLC).
- Proficiency in Java-based back-end technology and front-end development.
Skills
- AI Systems
- Back-End Development
- Cloud Deployment
- Full-Stack Engineering
- System Optimization
- Microservices
- Java
- Docker
- Kubernetes
- Technical Documentation
Hourly rate is commensurate with experience and is an estimated range provided by WorkGenius.
ref_id: 1e287d2a-4295-4d91-894b-ecb7402a84fd
What you'll work on
- Build enterprise-level distributed services for AI systems using modern technology stacks.
- Develop front-end interfaces and integration with back-end services for AI products.
- Containerize and orchestrate AI products in hybrid cloud architectures.
- Optimize system performance for back-end services and data interactions.
- Produce technical documentation and provide support for post-delivery operations.
What we're looking for
- Bachelor’s degree in Computer Science, Software Engineering, or related fields; Master’s or PhD preferred.
- 5+ years of back-end and full-stack engineering experience.
- Experience with cloud-native and microservice system development.
- Familiarity with the software development lifecycle (SDLC).
- Proficiency in Java-based back-end technology and front-end development.
Skills
- AI Systems
- Back-End Development
- Cloud Deployment
- Full-Stack Engineering
- System Optimization
- Microservices
- Java
- Docker
- Kubernetes
- Technical Documentation
Hourly rate is commensurate with experience and is an estimated range provided by WorkGenius.
ref_id: 1e287d2a-4295-4d91-894b-ecb7402a84fd
Tags & focus areas
Used for matching and alerts on DevFound Contract Ai Ai Engineer