AI Solutions Engineer
Tasks
- Assess technical feasibility
- Build AI agents
- Build AI automations
- Build AI integrations
- Conduct systems inventories
- Create technical documentation
- Deploy production applications
- Design solution architecture
- Develop internal tools
- Ensure human approval for critical actions
- Evaluate data quality
- Evaluate integration capabilities
- Improve reliability scalability security and maintainability
- Lead technical audits
- Maintain internal AI operating systems
- Participate in client discovery sessions
- Productize reusable modules
- Translate business requirements to technical solutions
- Troubleshoot production AI solutions
Perks/Benefits
- Flexible work
- Gym wellness allowance
- Home office setup allowance
- Industry certification reimbursement
- Internet allowance
- Medical insurance
- Mental health support
- Rewards and recognition
- Team events and engagement activities
Skills/Tech-stack
API Integration | Agent systems | Artificial Intelligence | Authentication | Automation | CI/CD | Context engineering | Copilot Studio | Data handling | Documentation | Git | Governance | JavaScript | Language Models | Large Language Models | Machine Learning | Maintainability | Microsoft Power | Microsoft Power Platform | Model Context Protocol | Multi-Agent | Multi-Agent Systems | N8n | Next.js | Node.js | OAuth | PostgreSQL | Power Apps | Power Automate | Power Platform | Prompt engineering | REST APIs | React | Reliability | Retrieval-Augmented Generation | Scalability | Security | SharePoint | Stripe API | Supabase | Systems Integration | Third Party | Third-party API | Third-party API integration | Tool use | Twilio API | TypeScript | Webhooks
Education
N/A
Roles
AI | AI Solutions | AI Solutions Engineer | Engineer | Solutions Engineer
Regions
Countries
States
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