Voice AI Engineer

Hiring for Voice/Conversational AI Engineer to add firepower to how the agents are prompted, evaluated, and improved. You'll design and scale the prompts and agent behaviors behind live calls, mine real call data for the next set of wins, and build the evals and benchmarks that let us push quality forward with speed and confidence. The goal is leverage: ship more improvements, faster, each one backed by evidence rather than guesswork. About you (must-haves) • 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. • Rigor over intuition — you default to experiments and evidence, and you make the case with data. • You live in Claude Code / Codex (or equivalent) — fluent and opinionated about AI-assisted engineering. In 2026 we treat this as table stakes. • Ownership mindset — you own agent quality end-to-end, including in production, and you stay close to how it affects real agencies and their customers. Skills & LanguagesMust-haverequiredNode.js4 Year(s)Typescript4 Year(s)Llm4 Year(s)Languages requiredEnglish