Includes but not limited to:

📍 Identify the biggest user pain points where a crypto AI can materially improve outcomes. 📍 Turn ambiguous ideas into a clear MVP, with crisp scope, constraints, and success metrics. 📍Prototype full AI experiences in Python to validate value and quality before we ship to production. 📍Own prompts and context engineering: instruction design, context shaping, guardrails, tool/function calling patterns, and output formatting. 📍 Build practical evaluation loops: golden sets, scenario coverage, qualitative rubrics, regressions, and acceptance criteria. 📍Design the AI user experience: make it clear, trustworthy, and resilient if things go wrong. 📍Run fast experiments, learn from real outputs and usage data, and iterate quickly. 📍Partner with Engineering to ship: provide handoff specs, edge cases, evaluation results, and support debugging and iteration post-launch. 📍 Work on whatever surface is the highest leverage.

What we’re looking for

📍Strong product judgment and the ability to make good calls under ambiguity. 📍Hands-on Python prototyping ability: you move fast, write clean code, and can translate ideas into working prototypes. 📍 Practical LLM experience + intuition: you understand prompt iteration, context design, and have a strong intuition for how to build useful products on top of LLMsA strong evaluation mindset: you can define quality, test for failure modes, and prevent regressions without heavy process. 📍 High-agency execution: you can go from “vague problem” → “shipped learning” with minimal supervision. 📍Excellent communication skills (verbal and written): convey complex messages clearly and simply, and driving conviction across stakeholders.

If you’re passionate about blockchain and decentralized technologies, explore more opportunities in web3 and cryptocurrency careers.