Full-Stack AI Engineer
A ZAR 720K-840K (estimate) Senior-level Full Time
Tasks
- Automate data preprocessing labeling and validation
- Build ETL pipelines for structured and unstructured data
- Build and maintain CI/CD pipelines
- Build front end interfaces for AI features
- Build inference APIs
- Collaborate with product and data teams
- Containerize services with Docker
- Deploy and integrate ML LLM models
- Deploy workloads to Kubernetes
- Design and optimize RAG pipelines
- Design and secure APIs for high concurrency
- Develop back end services and microservices for AI workloads
- Document workflows APIs and systems
- Ensure AI system security and compliance
- Implement authentication access controls and rate limiting
- Implement observability and monitoring
- Implement vector search and retrieval systems
- Monitor infrastructure health and inference latency
- Orchestrate AI data pipelines
- Store and manage datasets in cloud data warehouses
Perks/Benefits
Skills/Tech-stack
Access Control | Airflow | Amazon Redshift | Authentication | BigQuery | CI/CD | ChromaDB | Dagster | Datadog | Docker | ETL | Embeddings | Faiss | FastAPI | Fine Tuning | Flask | Hugging Face | JavaScript | Kubernetes | MLOps | MLflow | Next.js | Node.js | Observability | OpenAI API | Pinecone | Prefect | Prometheus | Prompt engineering | PyTorch | Python | RAG | Rate Limiting | React | Retrieval-Augmented Generation | SQL | Snowflake | TensorFlow | TypeScript | Vector Databases | Vue.js | Weaviate | Weights and Biases
Education
N/A
Roles
AI Engineer | Engineer | Full Stack | Full Stack AI Engineer | Software Engineer
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