Applied AI Developer
Tasks
- Build and maintain AI backed tools
- Build reliability guardrails and fallbacks
- Coordinate agent teams and asynchronous jobs
- Deploy tools and iterate based on usage
- Design agentic workflows with chained LLM calls
- Evaluate AI output quality
- Explain technical decisions to stakeholders
- Implement human review checkpoints
- Integrate LLM APIs into applications
- Monitor AI system performance continuously
- Validate AI outputs against known data
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | AWS | Asynchronous processing | Evaluation | Google Cloud | Human review | LLM API | Language Models | Large Language Models | Monitoring | Orchestration | Prompt engineering | Python | Validation
Education
N/A
Roles
AI Developer | Applied AI Developer | Backend | Backend Developer | Developer
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