AI Engineer / AI Automation Specialist
Tasks
- Build agentic workflows using LLMs tools and APIs
- Build automated workflows to reduce repetitive work
- Connect applications using APIs and automation platforms
- Design AI powered applications and workflows
- Develop AI agents for structured tasks
- Develop internal tools to improve productivity
- Develop prompts and reusable AI components
- Document AI systems workflows integrations and processes
- Evaluate AI output quality and reliability
- Identify edge cases and failure points
- Implement structured outputs and workflow logic
- Improve AI systems based on real world performance
- Integrate LLMs with internal and third party systems
- Maintain API integrations between AI systems and external platforms
- Research and test emerging AI technologies
- Test prompts workflows agents and integrations
- Troubleshoot failed or unreliable automations
- Work with webhooks and third party services
- Write clean maintainable code in Python and JavaScript or TypeScript
Perks/Benefits
Skills/Tech-stack
AI Agents | APIs | Agentic Workflows | Automation platforms | Generative AI | JavaScript | Language Models | Large Language Models | Make | N8n | Prompt engineering | Python | TypeScript | Webhooks | Workflow automation | Zapier
Education
N/A
Roles
AI | AI Automation | AI Automation Specialist | AI Engineer | Automation Specialist | Engineer | Specialist
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