Sr. AI Developer, Engineering
USD 150K-189K (estimate) Senior-level Full Time
Tasks
- Build and configure production integrations
- Build data pipelines
- Conduct automated testing
- Create evaluation frameworks
- Create proofs of concept
- Design data mapping and transformations
- Design end-to-end AI solutions
- Develop AI workflows with large language models
- Develop containerized applications
- Develop event-driven architectures
- Ensure monitoring, logging, and observability
- Implement CI/CD pipelines
- Implement authentication and authorization
- Implement retrieval-augmented generation
- Lead technical discovery
- Manage secrets and audit controls
- Orchestrate AI agents
- Support production troubleshooting and incident resolution
- Translate business requirements into architecture
Perks/Benefits
- N/A
Skills/Tech-stack
.NET | AI Evaluations | APIs | Adobe Experience | Adobe Experience Cloud | Agent Orchestration | Approval Workflows | Authentication | Authorization | Automated testing | BigQuery | C# | CI/CD | Cloud Native | Cloud platform | Data Mapping | Data Transformation | Docker | Docker and Kubernetes | ELT | ETL | Embeddings | Event Driven | Event-driven architecture | Experience Cloud | Git | Google Cloud | Google Cloud Platform | Human Approval | Human approval workflows | Identity Federation | Java | JavaScript | Kubernetes | Language Models | Large Language Models | Marketing Cloud | Observability | Prompt engineering | Python | Retrieval | Retrieval-Augmented Generation | Salesforce Marketing | Salesforce Marketing Cloud | Secrets management | SharePoint | Snowflake | TypeScript | Validation | Vector Databases | Vertex AI | Webhooks
Education
Bachelor of Engineering | Bachelor of Engineering in Computer Science | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Information Systems
Roles
AI | AI Developer | AI Engineer | Architect | Consultant | Developer | Engineer | Senior AI Developer | Software Engineer | Solutions Architect | Technical Consultant
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