An AI Engineer role focused on building and maintaining agentic AI systems, including agentic pipelines, RAG workflows, vector retrieval, memory/context layers, and integrations with upstream and downstream systems. The position is hands-on and collaborative, requiring strong Python and software engineering skills, familiarity with LLM APIs and agentic/RAG frameworks, and the ability to work across cross-functional teams during Pacific Time hours.
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AI for Pharma
Lynx Analytics develops AI solutions for pharma commercial and clinical decisions, helping pharma teams make faster, better decisions with data and AI. Its solutions empower MSL, Marketing, and Sales teams to optimize HCP engagement, product launches, omnichannel investment, and clinical trials. Clients include AstraZeneca and Levi Strauss & Co.
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