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docker aws kubernetes rag llm📋 Description
- Design, build, and operate production AI systems powering Cart Assistant.
- Build foundational AI infra: embedding pipelines, client components, integrations.
- Integrate foundation models via APIs; apply RAG and vector search.
- Own projects end-to-end: requirements, design, tests, deployment, observability.
- Collaborate with product, data science, ML, and infra to ship AI features.
- Drive engineering excellence: architecture, code reviews, and best practices.
🎯 Requirements
- Proven senior software engineer with production systems at scale; owns architecture.
- Hands-on AI/ML in production; shipped LLM features or foundation-model APIs.
- End-to-end service ownership: CI/CD, tests, observability, on-call.
- Strong cross-functional communication across product, design, and eng.
- Familiar with AI tooling (Copilot, Claude) to boost velocity.
🎁 Benefits
- Flex First remote work policy.
- New hire equity grants and annual refresh grants.
- Comprehensive benefits and remote-friendly policies.
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