AI Systems Engineer (LLM & AI Agent Development)
A USD 129K-170K (estimate) Senior-level Full Time
Tasks
- Automate workflows and data synchronization
- Build AI-powered web applications
- Build API integrations with third party platforms
- Build scalable backend services and APIs
- Debug and optimize production systems
- Design graph memory architectures
- Design secure information sharing between AI agents
- Develop CRM platform features
- Develop autonomous AI agent systems
- Develop recursive AI workflows
- Ensure AI performance reliability and scalability
- Implement memory management and data segmentation
- Implement multi-agent workflows
- Implement privacy controls for AI systems
- Integrate AI applications with HubSpot
- Integrate AI applications with Salesforce
- Integrate LLMs into production applications
- Orchestrate coordinated agent systems
Perks/Benefits
Skills/Tech-stack
API Integration | Agent Orchestration | Agent workflows | Automation | Backend Development | CRM platforms | Data segmentation | Graph memory | HubSpot integration | Java | JavaScript | LLM integration | Language Models | Large Language Models | Memory Management | Multi-Agent | Multi-agent orchestration | Node.js | Privacy controls | Prompt engineering | Python | Salesforce integration | Scalable APIs | Workflow automation
Education
N/A
Roles
AI | AI Systems Engineer | Engineer | Software Engineer | Systems Engineer
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