LLM Engineer

• Tackle open-ended AI problems: clarify goals, propose approach options, and choose sensible trade-offs.
• Stand up end-to-end workflows—from data wrangling and evaluation through deployment and monitoring.
• Build quick experiments and MVPs to de-risk unknowns, then harden them for production.
• Create lightweight tooling that helps others explore, test, and iterate on AI features.
• Work across teams (security, infra, product, domain experts) to ship responsibly in real-world environments, including sensitive contexts.
• Document decisions, assumptions, and risks so others can build on your work.

AI/LLM Engineer

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