Applied AI Developer
Tasks
- Add fallback logic for bad model outputs
- Automate internal workflows
- Build and maintain AI backed tools
- Chain LLM calls into pipelines
- Coordinate agent teams
- Deploy and iterate production systems
- Design agentic workflows
- Evaluate AI output quality
- Explain technical decisions to stakeholders
- Handle asynchronous jobs
- Implement checkpoints for human review
- Integrate LLM APIs into applications
- Monitor AI systems continuously
- Validate AI outputs with guardrails
Perks/Benefits
Skills/Tech-stack
API Integration | AWS | Agentic Workflows | Asynchronous processing | Google Cloud | Guardrails | Hallucination detection | Human-in-the-loop | LLM API | LLM-as-judge | Language Models | Large Language Models | Modular Design | Monitoring | Prompt engineering | Python | Quality evaluation | The Loop | Validation | Workflow Orchestration
Education
N/A
Roles
AI Developer | Applied AI Developer | Backend | Backend Developer | Developer
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