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The role focuses on building production AI tooling, interfaces, and agentic workflows to automate complex marketing intelligence processes. Responsibilities include designing retrieval and memory layers and establishing best practices for AI data quality and safety.
Requirements: Candidates need over 6 years of experience in software or data engineering with a strong proficiency in Python, SQL, and Kubernetes. Hands-on experience integrating LLMs into production systems and the ability to navigate ambiguity are required.
Key Skills: LLM, RAG, Embeddings, Python, SQL, Kubernetes, Container-based infrastructure, Agent orchestration, Distributed systems, Data engineering, Vector stores, AI observability, Memory layers, AI data quality, Software engineering, Technical strategy
Benefits: Bonus, Commission, Equity
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