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About the role
4+ years of hands-on software engineering experience; startup experience strongly preferred
Proven track record shipping production-grade AI systems, not just prototypes
Strong hands-on experience with:
Agent architectures, LLM systems, and RAG pipelines
Retrieval, grounding, and orchestration techniques
Python (strong proficiency) and TypeScript (working knowledge)
4+ years of infrastructure experience (cloud services, distributed systems)
4+ years working with containerization tools such as Docker and Kubernetes
2+ years of experience building with Large Language Models (LLMs) in production
Full-stack ownership mindset — comfortable operating across the entire system
Strong data instincts and experience working with messy, real-world datasets
Must be authorized to work in the United States (no visa sponsorship available)
Ability to commute to the San Jose, CA office (Hybrid Schedule)
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