Principal AI Engineer

📋 Description Define AI architecture and strategy; lead full lifecycle from design to production Build scalable ML platforms, pipelines, and orchestration for model dev Architect LLM systems: prompts, tool calls, multi-agent orchestration, RAG Design APIs and backend services that integrate AI with enterprise systems Lead model development and optimization from research to production Ensure AI reliability, security, and observability in production systems 🎯 Requirements 9+ years in professional software engineering; 5+ years AI/ML in production Expert Python or similar with distributed, scalable systems Deep experience designing distributed, event-driven architectures Deep cloud expertise; mastery of AWS and GenAI offerings Proven track record shipping complex agentic AI systems in production Mastery of AI frameworks and orchestration tools; when to adopt vs build 🎁 Benefits A doer. You fix what's broken and move with clarity Built for ownership. You own commitments and back teammates All in. You treat clients' businesses as your own