Site AI Engineer
Tasks
- Assess process and data maturity
- Automate infrastructure for AI deployment
- Build AI MVP agents
- Build agentic RAG pipelines
- Build event driven connectors
- Communicate agent impact to stakeholders
- Create user stories data specs and acceptance criteria
- Design ETL pipelines for RAG data
- Enable change and adoption
- Ensure information security and data governance compliance
- Evaluate off the shelf AI solutions
- Implement API integrations
- Integrate agents with front end tools
- Lead AI opportunity hunting
- Monitor latency cost adoption drift
- Orchestrate cross cloud AI services
- Redesign workflows for AI adoption
- Train crews and gather feedback
Perks/Benefits
- 401k employer match
- Backup daycare days
- Commuter benefits
- Dental insurance
- Disability insurance
- Health insurance
- Life insurance
- Paid time off
- Virtual Care Options
- Vision insurance
Skills/Tech-stack
API Integrations | AWS Bedrock | Airflow | Amazon SageMaker | Azure OpenAI | CI/CD | ChatGPT enterprise | CloudFormation | Databricks | Databricks Lakehouse | Databricks Workflows | ELT | ETL | Event Driven | Event-driven architecture | FastAPI | Git | GitHub | GitHub Actions | GraphQL | LLMOps | Machine Learning | OpenAI | OpenSearch | Python | RAG | REST API | SQL | Terraform | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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