Full-Stack AI Engineer
Tasks
- Build RAG pipelines
- Build React and Next.js user interfaces
- Build inference APIs
- Create CI/CD pipelines
- Deploy LLM-powered applications
- Deploy services to Kubernetes
- Develop ETL and data pipelines
- Develop backend microservices
- Document systems for reproducibility
- Ensure GDPR HIPAA and SOC 2 compliance
- Implement authentication and access controls
- Implement embeddings and vector search
- Integrate OpenAI and Hugging Face models
- Monitor latency cost and uptime
- Orchestrate AI workflows
Perks/Benefits
Skills/Tech-stack
APIs | Airflow | Amazon Redshift | BigQuery | CI/CD | Dagster | Docker | Embeddings | Faiss | FastAPI | Flask | Hugging Face | JavaScript | Kubeflow | Kubernetes | Langchain | MLflow | Microservices | Next.js | Node.js | OpenAI | Pinecone | PostgreSQL | Prefect | PyTorch | Python | RAG | React | SQL | SageMaker | Snowflake | TensorFlow | TypeScript | Vector Search | Vertex AI | Weaviate | Weights and Biases
Education
N/A
Roles
AI Engineer | Engineer | Full Stack | Full Stack AI Engineer | Software Engineer
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