AI Developer
Tasks
- Build evaluation frameworks for model performance
- Build scalable AI agents and services
- Collaborate with stakeholders to identify AI opportunities
- Design and develop Model Context Protocol integrations
- Design secure data pipelines for AI models
- Develop context-aware AI workflows
- Develop prompt frameworks retrieval systems and agent architectures
- Ensure reliability performance and governance across integrations
- Ensure security data privacy and governance compliance
- Fine-tune or customize models
- Implement and optimize large language model solutions
- Integrate AI capabilities into enterprise applications
- Participate in system architecture decisions for scalable AI infrastructure
- Support AI orchestration and automation services
- Translate business workflows into AI automation
- Write production-quality backend code
Perks/Benefits
- 401k match
- Dental insurance
- Disability insurance
- Equity program
- Flexible paid time off
- Life insurance
- Medical insurance
- Paid Holidays
- Paid parental leave
- Variable bonus program
- Vision insurance
Skills/Tech-stack
AI Agents | AI orchestration | APIs | AWS | Automation workflows | Azure | CRM Integrations | Data Governance | Data Pipelines | Data Privacy | Data Warehousing | Data models | Data privacy security | ERP Integrations | Enterprise Data | Enterprise Data Models | Event Driven | Event-driven architecture | Fine Tuning | GCP | JavaScript | Knowledge graphs | LLM | Langchain | Llamaindex | Microservices | Middleware | Model Evaluation | Privacy & Security | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Secure Data | Secure data pipelines | System Architecture | TypeScript | Vector Databases | Vector similarity | Workflow Engines
Education
Roles
AI | AI Developer | Developer
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