Site AI Engineer
Temple, TX, United States
USD 100K-141K (estimate) Mid-level Full Time
Tasks
- Assess process and data maturity
- Automate infrastructure and deployments
- Build AI agent MVPs
- Build LLM RAG pipelines
- Communicate agent impact to stakeholders
- Design ETL and API integrations
- Draft user stories data specs acceptance criteria
- Ensure information security and data governance compliance
- Evaluate AI tools with pilots
- Implement event driven connectors
- Lead AI workflow discovery
- Monitor AI pipelines latency cost drift
- Orchestrate agents across cloud services
- Train crews and track adoption ROI
Perks/Benefits
- 401k 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 Integration | AWS Bedrock | Agentic AI | Airflow | Amazon SageMaker | Artificial Intelligence | Azure OpenAI | CI/CD | ChatGPT enterprise | CloudFormation | Cost monitoring | Databricks | Databricks Connectors | Databricks Lakehouse | Databricks Workflows | Drift monitoring | ELT | ETL | Event Driven | Event-driven architecture | FastAPI | Git | GitHub | GitHub Actions | GraphQL | LLMOps | Language Models | Large Language Models | Latency monitoring | Machine Learning | Model Drift | Model drift monitoring | OpenAI | OpenSearch | Python | RAG Pipelines | REST API | Retrieval-Augmented Generation | SQL | Terraform | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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