Full-Stack AI Engineer
Tasks
- Build CI/CD pipelines
- Build ETL/ELT pipelines
- Build inference APIs
- Deploy AI model APIs
- Deploy services to Kubernetes
- Design frontend user interfaces
- Develop RAG pipelines
- Develop backend microservices
- Document systems for reproducibility
- Ensure GDPR HIPAA SOC-2 compliance
- Implement authentication authorization access controls
- Implement embeddings and vector search
- Integrate LLMs into production systems
- Monitor latency cost uptime
- Orchestrate AI data pipelines
Perks/Benefits
Skills/Tech-stack
Airflow | BigQuery | CI/CD | Dagster | Docker | Embeddings | Faiss | FastAPI | Flask | GDPR | HIPAA | Hugging Face | JavaScript | Kubeflow | Kubernetes | MLflow | Next.js | Node.js | OpenAI API | Pinecone | Prefect | PyTorch | Python | RAG | React | Redshift | SQL | SageMaker | Snowflake | TensorFlow | TypeScript | Vector Databases | Vertex AI | Weaviate | Weights and Biases
Education
N/A
Roles
AI Engineer | Developer | Engineer | Full Stack | Full Stack AI Engineer | Full Stack Developer
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