AI Engineer
Tasks
- Architect multi-agent systems
- Build evaluation and observability pipelines
- Collaborate with product and engineering teams
- Define agent tools resources and permissions
- Design and build autonomous AI agents
- Design guardrails validation and human in the loop checkpoints
- Extend and maintain MCP server
- Integrate agent services into main application
- Own agentic feature lifecycle
- Translate customer intent into agent workflows
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Chroma | Deployment | Evaluation | FastAPI | Guardrails | Human-in-the-loop | LLM | Langgraph | Model Context Protocol | Multi-Agent | Multi-Agent Systems | Observability | PGVector | Prompt engineering | Python | Retrieval-Augmented Generation | SQL | SQL Retrieval | Structured outputs | Task planning | The Loop | Tool-Calling | Vector Databases | WebSocket
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
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