10637 - Arquiteto(a) de Soluções em IA Generativa (LLMs & Agentes) - Sênior
Tasks
- Add guardrails and safety controls
- Connect agents to enterprise data and legacy systems
- Create agent orchestration standards
- Define LLM and AI agent solution architecture
- Design and implement multi-agent systems
- Enable human-in-the-loop workflows
- Ensure solution quality governance and standardization
- Implement AI engineering best practices
- Implement agent workflows and chains
- Implement observability and monitoring
- Integrate tool use with agent systems
- Manage context and memory for agents
- Provide technical guidance to internal teams
- Select and implement LLM agent frameworks and technologies
- Set fallback strategies
- Support continuous stack and development process improvements
- Translate business requirements into scalable technical architectures
Perks/Benefits
Skills/Tech-stack
API Integration | Agent Orchestration | Agent systems | Agent workflows | Cloud Computing | Context Management | Distributed tracing | Human-in-the-loop | Langchain | Langgraph | Language Models | Large Language Models | Logging | Memory Management | Metrics | Microservices | Multi-Agent | Multi-Agent Systems | Observability | Prompt Context Management | Prompt engineering | Retrieval-Augmented Generation | Security Governance | The Loop | Tool use | Vector Databases
Education
N/A
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