Backend & AI/ML Engineer
Tasks
- Build and maintain microservices with Docker and Kubernetes
- Build backend APIs
- Collaborate with product and data science teams to deliver AI powered solutions
- Design and implement scalable AI/ML solutions
- Develop cloud native AI applications
- Implement CI/CD automation
- Integrate large language models into enterprise applications
- Lead architecture discussions and design reviews
- Manage build artifacts with JFrog Artifactory
- Mentor engineering teams
Perks/Benefits
- 401k match
- Dental insurance
- Employee assistance program
- Flexible spending account
- Health insurance
- Health savings account
- Life insurance
- Long-term disability
- Paid time off
- Short-term disability
- Vision insurance
Skills/Tech-stack
API Gateway | AlloyDB | Backend APIs | CI/CD | Cloud Run | Databricks | Docker | Gemini API | Google Cloud | JFrog Artifactory | Kubernetes | Language Models | Large Language Models | Microservices | Python
Education
N/A
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