AI Practitioner/Forward Deployed Engineer
Tasks
- Collaborate with security legal and compliance stakeholders
- Create custom agents and workflows
- Design and build production AI applications
- Design prompt and agent guardrails
- Develop REST API and webhook integrations
- Ensure security reliability observability and compliance
- Evaluate LLM quality using offline and online metrics
- Implement MCP servers and integrations
- Implement governance access controls and usage policies
- Integrate AI platform with enterprise systems
- Measure and communicate business value
- Monitor telemetry token and credit usage
- Optimize context scoping summarization and caching
- Prototype validate and harden MVPs into production
Perks/Benefits
- 401k
- Medical, dental, and vision insurance
- Paid Company Holidays
- Paid parental and caregiver leave
- Paid time off
Skills/Tech-stack
API Integration | Agent Development | Auditability | Caching | Data summarization | Language Models | Large Language Models | Least Privilege | MCP | Make | Microsoft 365 | Microsoft Teams | Model Evaluation | N8n | OAuth | OIDC | Power Automate | Prompt Guardrails | Prompt engineering | RBAC | REST API | SAML | SSO | Salesforce | ServiceNow | SharePoint | Token Monitoring | Webhooks | Zapier
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Data Analytics | Bachelor of Science in Information Systems
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
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