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About the role
5+ years of experience in software engineering, machine learning, and applied AI with a track record of driving projects to completion.
Strong software engineering fundamentals (testing, modular design, dependency injection) in Python.
A track record of taking AI and LLM-powered features from initial concept through deployment and long-term production maintenance.
Experience implementing automated testing strategies for non-deterministic systems, and strong debugging and analytical skills for ambiguous model behavior.
A strong understanding of prompt engineering and prompt lifecycle management, RAG architectures and retrieval evaluation, and LLM limitations and failure patterns.
Solid experience in using Data Analytics techniques (SQL, analysis and visualizations) to inform Product decisions and delivery.
A heavy product mindset to deeply understand our product and our customer needs to design the right solutions for them.
Strong tech leadership and mentorship skills, and the ability to independently drive projects to completion.
Clear communication of trade-offs, risks, and system performance to stakeholders.
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