Applied AI Engineer - Wellness
Tasks
- Build AI voice and messaging agents
- Build dashboards and internal tooling
- Build data ingestion pipelines
- Codify reusable client configuration components
- Deploy AI agent systems for clients
- Design and maintain relational and caching databases
- Develop backend services in TypeScript
- Implement routing and machine learning logic in Python
- Integrate CRM and marketing automation systems
- Optimize queries and caching strategies
- Train and deploy predictive models
- Translate business workflows into agent configurations
Perks/Benefits
- N/A
Skills/Tech-stack
AI | API Services | AWS | CI/CD | CRM Integration | Caching | Containers | Data Lake | Data Pipelines | Data Quality | Data Warehouse | Databricks | ELT | ETL | Event Driven | Event-driven architecture | Function Calling | Guardrails | HubSpot | LLM orchestration | Machine Learning | Marketing Automation | Monitoring | Predictive Modeling | Prompt engineering | Python | Query Optimization | Relational databases | S3 | Salesforce | Security | Snowflake | Streaming | Structured Output | TypeScript
Education
N/A
Roles
AI Engineer | Applied AI Engineer | Engineer | Software Engineer
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