Applied AI Engineer
Tasks
- Build test and deploy end to end AI automation tools
- Design agent based architectures and workflow orchestration
- Develop intelligent systems using LLM APIs
- Ensure reliability scalability and observability of AI systems
- Evaluate and adopt emerging AI tools and frameworks
- Identify operational inefficiencies and improve workflows
- Implement retrieval-augmented generation pipelines
- Own product lifecycle from prototyping to deployment
- Translate business requirements into scalable solutions
Perks/Benefits
- Employee stock options
- Flexible scheduling
- Fully remote
- Health insurance
- Home-office allowance
- Parental leave
- Professional development stipend
- Recognition programs
- Unlimited paid time off
Skills/Tech-stack
API Design | Agentic Architectures | CI/CD | Docker | Google Cloud | JavaScript | LLM APIs | Model Context Protocol | Next.js | Prompt engineering | Python | REST API | Retrieval-Augmented Generation | TypeScript | Workflow Orchestration
Education
N/A
Roles
AI | AI Engineer | Applied AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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