Related skills
docker aws kubernetes gcp rag📋 Description
- Design, build, and operate production AI systems used by millions.
- Build AI infra: embeddings, voice pipelines, client components.
- Integrate foundation models via APIs and open-source tools (RAG).
- Own projects end-to-end: requirements to deployment.
- Collaborate with product, design, data science, and infra teams.
- Drive engineering excellence and AI production best practices.
🎯 Requirements
- Proven senior software engineer with production systems at scale.
- Hands-on AI/ML in production; shipped LLM features.
- End-to-end ownership: CI/CD, tests, observability, on-call.
- Experience with embeddings and vector search (Pinecone, FAISS, etc.).
- AWS or GCP, Docker, and Kubernetes.
- Kafka or other distributed systems experience.
🎁 Benefits
- Flexible, remote-first work policy.
- New hire equity grant and annual refresh grants.
- Taste of Instacart benefits program.
- Remote work from home, office, or coffee shop.
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