AI Engineering Lead
Kansas City, MO, United States
USD 56K-75K (estimate) Entry-level Full Time
Tasks
- Automate deployments with CI/CD
- Build APIs
- Build system connectors
- Collaborate with DevOps
- Design backend services
- Develop front-end interfaces
- Develop microservices
- Document system design and integration specs
- Ensure encryption in transit and at rest
- Implement RBAC and audit logging
- Implement authentication and authorization
- Integrate with Salesforce Marketing Cloud
- Integrate with SharePoint
- Integrate with Snowflake
- Integrate with Veeva Vault
- Integrate with Vertex AI
- Maintain testing and code quality
- Manage ETL and ELT pipelines
- Orchestrate AI workflows
- Participate in agile sprint planning and code reviews
- Support HIPAA GDPR and SOC 2
Perks/Benefits
- N/A
Skills/Tech-stack
Async Programming | Audit Logging | CI/CD | Cloud platform | Docker | ELT | ETL | Encryption | FastAPI | Flask | GitHub Actions | Google Cloud | Google Cloud Platform | JavaScript | Jenkins | Kubernetes | Microservices | Next.js | NoSQL | OAuth | OAuth2 | Python | RBAC | REST APIs | React | SQL | Service accounts | TypeScript | Vertex AI | Vue.js
Education
N/A
Roles
AI | AI Engineering | AI Engineering Lead | Engineer | Engineering Lead | Full Stack | Full Stack Engineer | Lead
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