Applied AI Engineer
Tasks
- Automate workflows
- Build AI-powered features
- Collaborate with operations on workflow automation
- Collaborate with product on AI features
- Define AI initiatives
- Design agentic workflows
- Document AI implementations and communicate results
- Ensure AI integrations meet reliability security maintainability standards
- Identify AI opportunities
- Implement rag pipelines
- Integrate AI into production systems
- Integrate LLM APIs
- Monitor and iterate AI models
- Prototype evaluate deploy AI solutions
Perks/Benefits
Skills/Tech-stack
AWS | Agentic Workflows | Anthropic API | CI/CD | Embedding pipelines | JavaScript | LLM APIs | Langchain | Llamaindex | Make | N8n | Node.js | OpenAI API | PostgreSQL | Prompt engineering | Python | RAG Pipelines | Retrieval-Augmented Generation | SOC 2 | TypeScript | Vector Databases | Vercel | Zapier
Education
N/A
Roles
AI | AI Engineer | Applied AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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