AI Architect – Agentic Systems (LLM & Multi-Agent Solutions)
Endava
Posted
- Company
- Endava
- Location
- Rosario, Santa Fe, Argentina
- Workplace
- hybrid
- Category
- Software Development
a2a agent-framework agentic amazon-bedrock ap2 api aws azure-ai-foundry crewai distributed-systems function-calling gcp langchain llm mcp multi-agent observability python rag semantic-kernel semantic-similarity text-embeddings tool-use tracing transformer ucp vector-embeddings vertex-ai
Hands-on AI Architect to design agentic multi-agent LLM systems in enterprise environments; architecture, orchestration, RAG, transformers/LLM foundations, tool use, memory, reliability, observability; AWS/Azure/GCP and Python preferred.