Full-Stack AI Engineer
Tasks
- Build ETL and ELT pipelines
- Build RAG pipelines
- Collaborate with product and data science teams
- Conduct code reviews and technical documentation
- Containerize AI services
- Deploy machine learning and LLM models
- Design scalable chatbot and assistant architectures
- Develop back-end services and APIs
- Develop responsive front-end applications
- Ensure AI security and compliance
- Implement CI/CD pipelines
- Implement authentication and access control
- Integrate AI inference APIs
- Manage cloud data warehouses
- Manage cloud infrastructure
- Monitor model performance and cost
- Optimize prompts and embeddings
- Orchestrate data pipelines
- Translate prototypes into production systems
Perks/Benefits
Skills/Tech-stack
AWS | Airflow | Amazon Redshift | BigQuery | CI/CD | Chroma | Cloud platform | Dagster | Distributed Systems | Docker | ELT | ETL | Embeddings | Faiss | FastAPI | Flask | GDPR | Google Cloud | Google Cloud Platform | HIPAA | Hugging Face | JavaScript | Kubernetes | Langchain | MLOps | MLflow | Microservices | Microsoft Azure | Model Monitoring | Next.js | Node.js | OpenAI | Pinecone | Prefect | Prometheus | Prompt engineering | PyTorch | Python | REST APIs | React | Retrieval-Augmented Generation | SQL | Snowflake | TensorFlow | TypeScript | Vector Databases | Vue | Weaviate | Weights and Biases
Education
N/A
Roles
AI Engineer | Engineer | Full Stack | Full Stack AI Engineer | Software Engineer
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