Senior AI Engineer
Tasks
- Apply safety rules permissions and guardrails
- Collaborate with product business and IT stakeholders
- Configure and extend agent behavior
- Deploy monitor and maintain AI agents in production
- Design and build AI powered workflows and agents
- Document workflows agent behavior and known limitations
- Implement structured decision logic
- Integrate agents with business tools systems and data sources
- Translate business requirements into decision paths and automation logic
- Troubleshoot and debug AI workflows
Perks/Benefits
- Career Development Programs
- Health benefits
- Hybrid work model
- Mental health support
- Mentorship and learning programs
- Wellness perks
Skills/Tech-stack
AI | APIs | Agent Platforms | Agentforce | Debugging | Decision logic | Dust) | Glean | Language Processing | Machine Learning | Microsoft Copilot | N8n | Natural Language | Natural Language Processing | Production Monitoring | Salesforce | Workflow automation
Education
N/A
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