Full-Stack AI Engineer
United States - Remote
R
A USD 140K-165K (estimate) Mid-level Full Time
Tasks
- Automate preprocessing data labeling workflow orchestration
- Build AI inference APIs
- Build CI/CD pipelines
- Build frontend interfaces
- Build microservices architecture
- Containerize AI services
- Create AI chat and automation features
- Create technical documentation and reproducible workflows
- Deploy and integrate AI models
- Deploy applications on Kubernetes
- Develop ETL data pipelines
- Develop RAG pipelines
- Develop backend APIs and services
- Ensure API security authentication and access control
- Ensure GDPR HIPAA and SOC 2 compliance
- Implement embeddings and semantic search
- Maintain monitoring, logging, and observability
- Monitor model performance drift and costs
- Train, fine-tune, and evaluate models
- Troubleshoot production incidents and optimize reliability
Perks/Benefits
Skills/Tech-stack
AWS | Airflow | Amazon SageMaker | CI/CD | Cloud platform | Dagster | Distributed Systems | Docker | Embeddings | Faiss | FastAPI | Flask | GDPR | Google Cloud | Google Cloud Platform | HIPAA | Hugging Face | JavaScript | Kubeflow | Kubernetes | Logging | MLOps | MLflow | Microservices | Microsoft Azure | Next.js | Node.js | Observability | OpenAI | Pinecone | Prefect | PyTorch | Python | React | Retrieval-Augmented Generation | SOC 2 | SQL | Semantic Search | Serverless | TensorFlow | TensorFlow Serving | TypeScript | Vector Database | Vertex AI | Vue.js | Weaviate
Education
N/A
Roles
AI Engineer | Engineer | Full Stack | Full Stack AI Engineer | Software Engineer
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