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

📋 Description

• Design multi-agent architectures (task decomposition, orchestration)
• Define interaction of LLM-powered agents with enterprise data platforms
• Build AI systems integrated with APIs, tools and workflows
• Lead agentic systems from PoC to production with guardrails
• Establish observability, tracing, and controls for agent behavior
• Define memory strategies for short/long-term and context grounding

🎯 Requirements

• Strong software architecture and distributed systems background
• Hands-on LLM-based applications experience
• Designing complex workflows and orchestration
• Knowledge of LLM fundamentals, transformers, embeddings
• Experience with multi-agent frameworks (LangChain, Semantic Kernel, CrewAI)
• Cloud experience (AWS/Azure/GCP) and Python

🎁 Benefits

• Competitive salary, share plan and bonuses
• Career development and global opportunities
• Learning programs and internal training
• Hybrid work and flexible hours
• Global wellbeing program and wellness apps
• Inclusive, diverse community and events