Full-Stack AI Engineer
Tasks
- Apply rate limiting and secure API practices
- Build AI inference APIs
- Build CI/CD pipelines
- Build ETL and ELT pipelines
- Build RAG pipelines
- Collaborate with product managers and data scientists
- Containerize AI services
- Deploy and integrate ML and LLM models
- Deploy workloads to Kubernetes
- Design scalable chatbot and analytics architectures
- Develop back-end services and APIs
- Develop responsive front-end applications
- Implement authentication and access control
- Manage datasets in cloud data warehouses
- Monitor model drift and performance
- Optimize prompt engineering and embeddings
- Orchestrate data pipelines
- Participate in code reviews and technical documentation
- Support GDPR HIPAA and SOC 2 compliance
- Translate prototypes into production systems
Perks/Benefits
Skills/Tech-stack
AWS | Access Control | Airflow | Amazon Redshift | Authentication | BigQuery | CI/CD | Chroma | Cloud platform | Dagster | Distributed Systems | Docker | 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 APIs | Rate Limiting | React | Retrieval-Augmented Generation | SOC 2 | SQL | 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 | Stack Developer
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