Full-Stack AI Engineer
Tasks
- Apply rate limiting
- Build AI inference APIs
- Build CI/CD pipelines
- Build ETL pipelines
- Build responsive front-end applications
- Collaborate with product designers and data scientists
- Containerize AI services
- Deploy machine learning models
- Deploy workloads to Kubernetes
- Design scalable chatbot and assistant systems
- Develop backend services and APIs
- Ensure GDPR HIPAA compliance
- Implement authentication and access control
- Implement rag pipelines
- Integrate LLM systems
- Maintain technical documentation
- Manage datasets in cloud warehouses
- Monitor inference latency and costs
- Monitor model drift
- Optimize prompt engineering
- Orchestrate data pipelines
- Perform code reviews
- Secure REST APIs
- Translate prototypes to production systems
Perks/Benefits
Skills/Tech-stack
AWS | Access Control | Airflow | Amazon Redshift | Authentication | 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 | MLflow | Microservices | Microsoft Azure | Next.js | OpenAI | Pinecone | Prefect | Prometheus | PyTorch | Python | REST API | Rate Limiting | React | Retrieval-Augmented Generation | SOC 2 | SQL | Security Compliance | Snowflake | TensorFlow | TypeScript | Vector Databases | Vue.js | 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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