AI Architect – Agentic Systems (LLM & Multi-Agent Solutions)

📋 Description

• Design multi-agent architectures (task decomposition, orchestration, coordination)
• Define how LLM-powered agents interact with enterprise data platforms
• Define APIs and tools for agent interaction and integration
• Operational workflows for agentic systems
• Lead agentic systems from PoC to production with guardrails
• Establish observability, tracing, feedback loops, and controls for agent behavior

🎯 Requirements

• Strong software architecture and distributed systems experience
• Hands-on experience building LLM-based applications
• Experience designing complex workflows and orchestration
• Deep understanding of RAG, retrieval optimization, and quality
• Knowledge of LLM foundations: transformers, training, context
• Experience with multi-agent frameworks (LangChain, etc.)

🎁 Benefits

• Hybrid work and flexible hours
• Career development and global opportunities
• Learning: projects, training, coaching, conferences
• Health and wellbeing programs
• Global tech communities and inclusion initiatives