GenAI Engineer (Python,RAG,LLM)
Tasks
- Apply prompt engineering techniques
- Build REST APIs and microservices
- Build data pipelines with BigQuery
- Collaborate with Agile cross-functional teams
- Deploy AI applications
- Deploy services on Cloud Run or Cloud Functions
- Design and build LLM applications
- Develop Vertex AI workflows
- Develop scalable solutions on Google Cloud
- Implement RAG architectures
- Integrate LLM APIs into enterprise systems
- Optimize model performance
Perks/Benefits
Skills/Tech-stack
AI Governance | BigQuery | Cloud Functions | Cloud Run | Cloud platform | Embeddings | Google Cloud | Google Cloud Platform | LLMOps | Langchain | Language Model | Large Language Model | Llamaindex | MLOps | Microservices | OpenAI | Prompt engineering | Python | RAG | REST API | Security | Vector Search | Vertex AI
Education
N/A
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