AI Full stack Engineer
Tasks
- Architect agentic AI workflows
- Build and deploy machine learning models
- Build front-end and back-end components
- Build generative AI computer vision and NLP solutions
- Create and maintain runbooks and documentation
- Design and develop AI infrastructure
- Develop and integrate APIs
- Develop scalable data pipelines
- Ensure application scalability, security, and performance
- Implement RAG systems
- Integrate AI ML models into web and enterprise applications
- Monitor application health performance and reliability
- Optimize model performance, latency, and cost
- Participate in release planning and management
- Provide production application support
- Respond to incidents and manage escalations
- Troubleshoot investigate root cause and resolve incidents
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Agentic AI | BigQuery | Cloud SQL | Cloud platform | Computer Vision | Databricks | Docker | Fine Tuning | Generative AI | Google Cloud | Google Cloud Platform | Graph Databases | Incident Management | Kubernetes | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | Machine Learning | Model Fine-tuning | Monitoring | Natural Language | Natural Language Processing | NoSQL | PostgreSQL | Python | REST APIs | Retrieval-Augmented Generation | SQL | Vector Databases | Vertex AI
Education
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