Arquitecto de Soluciones - Especialista en IA Agéntica y LLMs
Tasks
- Build MCP servers
- Create specs driven development documents
- Define prompt engineering standards
- Design agent observability and feedback systems
- Design reference architecture for agent frameworks
- Ensure LLM decision traceability
- Expose tools to LLM using MCP servers
- Implement RAG systems
- Implement guardrails with version control
- Manage prompt templates and few shot patterns
- Measure LLM effectiveness metrics
- Optimize chunking embedding and retrieval strategies
- Orchestrate multi-agent systems
- Produce C4 diagrams
- Validate technical feasibility in architecture committee
Perks/Benefits
Skills/Tech-stack
Agent systems | Architecture Decision | Architecture Decision Records | Benchmarks | C4 model | Chain-of-Thought | Chunking | Decision records | Embeddings | Event Driven | Event-driven architecture | Few-Shot Learning | Few-shot | Java | LLM Evaluation | LLM orchestration | Language Models | Large Language Models | MCP servers | Microservices | Multi-Agent | Multi-Agent Systems | Prompt engineering | RAG | React | Red Teaming | Spring Boot | Tool use | Tool-Calling | TypeScript
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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