Applied AI Developer
Tasks
- Build and maintain AI backed tools
- Communicate technical decisions to technical and non technical stakeholders
- Deploy production systems and iterate based on usage
- Design agentic workflows chaining LLM calls
- Implement validation guardrails and human review gates
- Integrate LLM APIs into applications
- Manage asynchronous jobs and pipelines
- Monitor deployed systems and handle failure modes
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | AWS | Agentic Workflows | Asynchronous processing | Data Validation | Evaluation | Google Cloud | Guardrails | Human review | JSON | LLM API | LLM API integration | LLM-as-judge | Language Models | Large Language Models | Monitoring | Prompt engineering | Python | REST APIs | System design | Workflow Orchestration
Education
N/A
Roles
AI Developer | Applied AI Developer | Backend | Backend Developer | Developer
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