Applied AI Engineer
Tasks
- Build test and deploy end to end automation tools
- Design AI driven workflow solutions
- Develop LLM-powered systems
- Evaluate adopt emerging AI tools and frameworks
- Identify operational inefficiencies
- Implement Retrieval-Augmented Generation (RAG)
- Integrate LLM APIs and agent architectures
- Monitor reliability scalability observability of AI systems
- Own product lifecycle from prototyping to deployment
- Translate business needs into technical implementations
Perks/Benefits
- Employee stock options
- Flexible scheduling
- Fully remote work
- Health insurance
- Home office setup allowance
- Inclusive collaborative culture
- Parental leave
- Professional development stipend
- Recognition programs
- Unlimited paid time off
Skills/Tech-stack
AI Workflow Orchestration | AI workflow | API Design | Agent-based | Agent-based architecture | CI/CD | Cloud Platforms | Docker | Google Cloud | JavaScript | LLM APIs | Language Models | Large Language Models | MCP | Model Context Protocol | Next.js | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | TypeScript | Workflow Orchestration
Education
N/A
Roles
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