- Build and test components of custom AI systems—model integrations, data pipelines, APIs, and deployment tooling—under senior technical direction.
- Participate in client sessions across the engagement lifecycle: requirements gathering, prototype reviews, technical working sessions, and delivery readouts.
- Take direct ownership of scoped client-facing assignments.
- Prototype rapidly and iterate against real client feedback.
- Proactively identify opportunities to apply AI within Eliza's own operating rhythms.
- Scope, build, and present high-impact internal solutions end-to-end.
- Write clean, reviewable code and respond productively to technical review.
- Surface complex technical challenges, blockers, and risks with clear context.
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