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Shared by 
2 days ago
Requirements and responsibilities
Key RequirementsStrong Python development experienceExperience with LLMs, RAG, AI agents, and automation workflowsExperience building ML infrastructure and evaluation pipelinesStrong understanding of data quality, taxonomy design, and dataset curationExperience working with customers, researchers, or enterprise stakeholdersAbility to thrive in fast-paced, ambiguous environmentsNice to HaveExperience at AI startups or research-focused teamsExperience with agent evaluation and workflow automationFamiliarity with modern LLM tooling and AI infrastructureExperience supporting enterprise AI deploymentsKey ResponsibilitiesBuild AI-powered applications, agent workflows, and data intelligence systemsDevelop ML pipelines for training, evaluation, and experimentationDesign data frameworks that improve model quality and performancePartner with AI researchers and enterprise customersBuild scalable infrastructure for AI deployment and evaluationOwn projects from architecture through production deliveryWe're looking for an experienced engineer to work directly with leading AI labs and enterprise customers, building production-grade AI systems, agentic workflows, ML infrastructure, and data intelligence platforms.
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