Sr. AI Developer, Engineering
USD 56K-75K (estimate) Entry-level Full Time
Tasks
- Automate deployments with CI/CD
- Build ETL/ELT pipelines
- Build restful APIs
- Build system connectors
- Collaborate on containerization and orchestration
- Create and maintain technical documentation
- Design backend services
- Develop front-end applications
- Develop microservices for multi tenant scalability
- Develop orchestration workflows for AI agents
- Ensure HIPAA GDPR and SOC 2 compliance
- Implement RBAC and audit logging
- Implement authentication and authorization
- Implement logging and retry mechanisms
- Integrate LLMs and RAG systems
- Integrate third-party enterprise systems
- Perform code reviews and sprint planning
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | Async Programming | Audit Logging | BigQuery | CI/CD | Cloud Build | Cloud platform | Docker | ELT | ETL | Encryption | FastAPI | Flask | Gemini API | GitHub Actions | Google Cloud | Google Cloud Platform | JavaScript | Jenkins | Kubernetes | Langchain | Marketing Cloud | Microservices | Next.js | NoSQL | OAuth | OAuth2 | Python | RBAC | REST APIs | React | SQL | Salesforce Marketing | Salesforce Marketing Cloud | Service accounts | SharePoint | Snowflake | TypeScript | Veeva Promomats | Veeva Vault | Vertex AI | Vertex AI Agents | Vue.js
Education
N/A
Roles
AI | AI Developer | Developer | Full Stack | Full Stack Developer | Stack Developer
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