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python ai llms rag langchain📋 Description
- Identify and validate pain points ripe for agent automation.
- Own the AI-first product strategy using LLMs and tools.
- Design agent-enabled concepts with personalization and intelligence.
- Prototype AI-driven solutions and run rapid iterations.
- Lead customer discovery with senior retail and e‑commerce stakeholders.
- Collaborate cross-functionally to launch and adopt use cases.
🎯 Requirements
- 5-10 years in product management or AI prototyping roles.
- Strong interest in AI: LLMs, RAG, evals, prompt engineering.
- Hands-on prototyping with LangChain, Streamlit, Python.
- Strong product intuition; simplify complex systems into UX.
- Experience leading customer conversations and discovery.
- Bachelor's degree; willing to travel up to 40%.
🎁 Benefits
- Work on the AI agent ecosystem for retail.
- Collaborate with visionary leaders and engineers.
- Impact with Fortune 500 brands and real deployments.
- Exposure to AI, product, and GTM strategy.
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