Full-Stack AI Engineer
Tasks
- Build AI inference APIs
- Build AI powered chatbots copilots and automation
- Build CI/CD pipelines
- Build ETL pipelines
- Build frontend applications
- Deploy AI services
- Design secure scalable application architectures
- Develop RAG pipelines
- Develop backend services and APIs
- Document technical designs workflows and architecture decisions
- Implement authentication authorization and API protection
- Implement embeddings semantic search
- Integrate AI/ML models
- Manage structured and unstructured datasets
- Optimize inference performance scalability cost
Perks/Benefits
Skills/Tech-stack
AWS | Airflow | Azure | CI/CD | Dagster | Docker | ETL | Embeddings | Faiss | FastAPI | Flask | GCP | Hugging Face | JavaScript | Kubeflow | Kubernetes | MLOps | MLflow | Microservices | Next.js | Node.js | OpenAI | Pinecone | Prefect | PyTorch | Python | RAG | React | SQL | SageMaker | Semantic Search | Serverless | TensorFlow | TypeScript | Vector Databases | Vertex AI | Vue | Weaviate
Education
N/A
Roles
AI Engineer | Engineer | Full Stack | Full Stack AI Engineer
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