Voice/Conversational AI Engineer

Що очікуємо

• Strong applied-LLM experience — you've built and shipped LLM-powered features in production, not just prototypes.
• Serious prompt-engineering craft — you can decompose a hard task into reliable prompts/agent steps, and you have opinions on structure, versioning, and keeping prompts maintainable at scale.
• Evals-first mindset — you've built (or badly wished you'd built) eval harnesses, benchmarks, and test sets, and you believe quality is something you measure, not vibe-check.
• Comfortable in data — you can pull, slice, and analyze call/transcript data (SQL and Python/TypeScript) to find signal and quantify impact.
• Solid engineering foundation — you write production code (TypeScript/Node preferred) and can integrate your work into a real backend, not hand it off as a notebook.