AI Engineer
Tasks
- Architect AI-powered systems
- Automate model deployment
- Build autonomous agents
- Build data pipelines
- Build generative workflows
- Communicate AI architecture and metrics
- Create and maintain engineering documentation
- Design build and maintain AI systems
- Ensure scalability in production
- Fine-tune and deploy large language models
- Identify business problems
- Integrate AI capabilities into applications
- Monitor model performance
- Own end to end MLOps lifecycle
- Research evaluate and implement AI technologies
Perks/Benefits
Skills/Tech-stack
AI vector search | Agent Development Kit | Agentic Systems | CI/CD | Cloud platform | Evaluation Frameworks | Generative AI | Google Agent Development Kit | Google Cloud | Google Cloud Platform | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Machine Learning | Model Monitoring | Python | RAG | Retrieval-Augmented Generation | SQL | Vector Databases | Vector Search | Vertex AI | Vertex AI Vector Search
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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