General Pipeline - FullStack Applied AI Engineer
Tasks
- Build and ship full stack AI native products
- Build asynchronous workflows and automation infrastructure
- Build frontend experiences with React and Next.js
- Design and implement agentic AI applications
- Design data models for relational graph and vector databases
- Develop LLM workflows and RAG systems
- Develop backend systems and APIs with Python and Node.js
- Develop internal dashboards admin tools and approval systems
- Integrate commercial APIs open source models and third party tools
- Translate business needs into scalable technical systems
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Access Control | Asynchronous programming | Authentication | Authorization | BigQuery | Django | Document processing | Document processing pipelines | Embeddings | FastAPI | GCP | Graph Database | GraphRAG | JavaScript | LLM | N8n | Neo4j | Next.js | Node.js | Observability | Pinecone | PostgreSQL | Processing pipelines | Prompt engineering | Python | RAG | REST API | React | Relational Database | Role-Based Access | Role-Based Access Control | Supabase | Temporal | Vector Databases | Weaviate | Webhooks
Education
N/A
Roles
AI Engineer | Applied AI Engineer | Engineer | Full Stack | Full Stack Engineer | Stack Engineer
Regions
Countries
States
Cities
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