Full-Stack AI Engineer
Tasks
- Build RAG pipelines
- Build inference APIs
- Build microservices
- Debug production issues
- Deploy LLM applications
- Deploy to Kubernetes
- Develop ETL and data pipelines
- Develop frontend interfaces
- Document systems for scalability
- Ensure GDPR HIPAA SOC-2 compliance
- Implement authentication and access control
- Implement embeddings
- Integrate AI with business APIs
- Manage MLOps workflows
- Monitor model latency and cost
- Optimize vector search
- Orchestrate workflows
- Set up CI/CD pipelines
Perks/Benefits
Skills/Tech-stack
APIs | Airflow | Authentication | Authorization | BigQuery | CI/CD | Dagster | Docker | ELT | ETL | Embeddings | Faiss | FastAPI | Flask | GDPR | HIPAA | Hugging Face | JavaScript | Kubeflow | Kubernetes | MLOps | MLflow | Next.js | Node.js | OpenAI | Pinecone | Prefect | PyTorch | Python | RAG | Rate Limiting | React | Redshift | SOC 2 | SQL | SageMaker | Snowflake | TensorFlow | TypeScript | Vector Databases | Vector Search | Vertex AI | Vue | Weaviate | Weights and Biases
Education
N/A
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