AI Automation & Generative AI Engineer
Tasks
- Build AI-powered applications
- Build RAG systems
- Create AI agents chatbots
- Deploy AI solutions to production
- Design document search tools
- Develop LLM based tools
- Ensure AI solutions security and alignment
- Implement workflow automations
- Improve accuracy usability and reliability
- Integrate generative AI APIs
- Integrate with APIs and databases
- Optimize prompts and workflows
- Troubleshoot AI workflows and edge cases
Perks/Benefits
Skills/Tech-stack
API Integration | AWS | Anthropic API | Apache Airflow | Autogen | Azure | Chroma | Cloud infrastructure | CrewAI | Data Privacy | Embeddings | Gemini API | Google Cloud | Google Gemini | Google Gemini API | LLM Evaluation | Langchain | Llamaindex | Make | Milvus | N8n | OpenAI API | PGVector | Pinecone | Prompt engineering | Python | Qdrant | RAG | Semantic Kernel | Structured outputs | Vector Database | Weaviate | Zapier
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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