Full-Stack AI Engineer
Tasks
- Build ETL and ELT pipelines
- Build LLM inference APIs
- Build responsive front-end applications
- Collaborate with product and data science teams
- Containerize AI services
- Debug inference and workflow issues
- Deploy ML and LLM models
- Deploy to Kubernetes
- Design scalable chatbot and assistant systems
- Develop backend services and APIs
- Document architectures and deployments
- Ensure AI security and compliance
- Implement CI/CD pipelines
- Implement authentication and access control
- Implement retrieval-augmented generation pipelines
- Manage datasets in cloud warehouses
- Monitor inference latency and model drift
- Optimize prompt engineering and embeddings
- Orchestrate data pipelines
- Translate prototypes into production systems
Perks/Benefits
Skills/Tech-stack
AWS | Airflow | Amazon Redshift | CI/CD | Chroma | Cloud Computing | Dagster | Distributed Systems | Docker | ELT | ETL | Embeddings | Faiss | FastAPI | Flask | GDPR | Google BigQuery | Google Cloud | HIPAA | Hugging Face | JavaScript | Kubernetes | Langchain | MLOps | MLflow | Microservices | Microsoft Azure | Next.js | Node.js | OpenAI | Pinecone | Prefect | Prometheus | PyTorch | Python | RAG | REST APIs | React | SOC 2 | SQL | Snowflake | TensorFlow | TypeScript | Vector Databases | Vue.js | Weaviate | Weights and Biases
Education
N/A
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