Pasito - AI/ML Engineer
Tasks
- Architect multi-agent systems
- Build RAG and persistent memory systems
- Build backend services and APIs
- Collaborate with product, design, and client teams
- Create AI evaluation and monitoring pipelines
- Deploy and operate AI systems in production
- Design data pipelines
- Develop AI native workflows with evaluation metrics
- Handle offline evaluations and regression detection
- Implement document ingestion and structured extraction
- Implement prompt and version management
- Integrate LLM powered systems into products
- Manage vector database indexing and retrieval
- Orchestrate agent workflows
Perks/Benefits
Skills/Tech-stack
AI Studio | APIs | Agent Orchestration | Anthropic API | Backend Development | Chunking | Cost Optimization | Data Pipelines | Data extraction | Google AI | Google AI Studio | JavaScript | Langchain | Langfuse | Langgraph | Langsmith | Llamaindex | MLflow | Monitoring | Node.js | Observability | OpenAI API | Pinecone | Prompt engineering | Python | Retrieval-Augmented Generation | Structured data | Structured data extraction | Tool-Calling | Vector Databases
Education
N/A
Roles
AI | AI/ML Engineer | Engineer | ML Engineer | Software Engineer
Regions
States
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