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The Backend Engineer will design, build, and maintain scalable backend systems for AI solutions, develop Python libraries, manage APIs, and optimize backend performance.

Design, build, and maintain scalable AWS data platforms, implement data governance, and optimize architectures while collaborating with cross-functional teams.

Work with senior research staff to develop Applied AI and GenAI tooling: build RAG pipelines, implement neural architectures, create AWS-based Python libraries, work with fine-tuned models, vector DBs and embeddings, develop training/visualization tools and open-source contributions.

Design, implement, and manage scalable AWS infrastructure; lead migrations and modernization; build CI/CD pipelines and IaC; deploy containers with Kubernetes/Docker; apply Well-Architected principles; mentor junior engineers and drive DevOps best practices.