Craftzing and Sagacify are looking for a Mid-Level AI Systems Engineer who is equally at home shipping an agent to production as debugging why it drifted three weeks later. Someone who does not see building AI systems and operating them as a trade-off, but as two things that make each other better. Do you get energy from designing LLM-powered agents and RAG pipelines while staying just as sharp on monitoring, CI/CD and safe rollouts once they're live? Then you will probably feel right at home here.
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