Site AI Engineer - New Haven, CT
Tasks
- Assess process and data maturity
- Automate infrastructure with CI/CD
- Build AI agent MVPs
- Communicate agent impact to stakeholders
- Develop agentic RAG pipelines
- Enable change management for agent adoption
- Ensure information security and data governance compliance
- Evaluate and pilot AI tools
- Identify AI use cases
- Integrate APIs and ETL pipelines
- Monitor latency cost and drift
- Orchestrate agents across cloud providers
- Prepare user stories data specs and acceptance criteria
- Redesign workflows with process discovery
- Train crews and track ROI metrics
Perks/Benefits
- 401k match
- Backup daycare days
- Commuter benefits
- Dental insurance
- Financial resources access
- Health insurance
- Life insurance
- Long-term disability
- Paid time off
- Short-term disability
- Virtual Care Options
- Vision insurance
Skills/Tech-stack
AWS Bedrock | AWS CloudFormation | Airflow | Amazon SageMaker | Azure OpenAI | CI/CD | ChatGPT enterprise | Databricks | Databricks Workflows | ELT | ETL | Event Driven | Event-driven architecture | FastAPI | Git | GitHub | GitHub Actions | GraphQL | LLMOps | Language Models | Large Language Models | OpenAI | OpenSearch | Python | RAG | REST | REST API | SQL | Terraform | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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