Full-Stack AI Engineer
Tasks
- Automate preprocessing and labeling
- Build AI inference APIs
- Build CI CD pipelines for releases
- Build ETL pipelines
- Build frontend AI interfaces
- Build scalable microservices
- Containerize AI services
- Create AI chatbots and automation features
- Deploy and integrate AI/ML models
- Deploy applications to Kubernetes and cloud
- Develop RAG pipelines
- Develop backend APIs and services
- Ensure GDPR HIPAA SOC-2 compliance
- Implement API authentication and access control
- Implement embeddings and semantic search
- Maintain technical documentation
- Monitor model performance and drift
- Orchestrate data workflows
- Set up logging and observability
- Train, fine-tune, and evaluate models
- Troubleshoot production incidents
Perks/Benefits
Skills/Tech-stack
AWS | Airflow | Azure | CI/CD | Dagster | Docker | ETL | Embeddings | Faiss | FastAPI | Flask | GCP | GDPR | HIPAA | JavaScript | Kubeflow | Kubernetes | LLM | Logging | MLOps | MLflow | Machine Learning | Next.js | Node.js | Observability | OpenAI | Pinecone | Prefect | PyTorch | Python | Rate Limiting | React | Retrieval-Augmented Generation | SOC 2 | SQL | SageMaker | Semantic Search | TensorFlow | TypeScript | Vector Databases | Vertex AI | Vue.js | Weaviate
Education
N/A
Roles
AI Engineer | Engineer | Full Stack | Full Stack AI Engineer | Software Engineer
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