2 часа назад
Senior AI Product Engineer
175 000 - 225 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Product Engineer (TypeScript/Node.js/React/LLM): Building end-to-end features for an AI-powered recruiting marketplace, including database schemas, product interfaces, backend systems, and intelligent agents with an accent on production AI, full-stack ownership, and rapid product iteration. Focus on designing conversational and agentic systems, scaling AI-powered features to thousands of users, and balancing model cost, quality, and speed.
Location: Hybrid in Brooklyn, NY (Williamsburg), with 3–4 days per week in the office
Salary: $175,000–$225,000 base salary plus meaningful equity
Company
is a Series A startup backed by Lightspeed that is building an AI-powered recruiting marketplace for engineers and employers.
What you will do
- Own product features end-to-end, from PostgreSQL schemas and TypeScript/Node.js backend systems to React/Next.js interfaces.
- Build AI agents for candidate conversations, voice onboarding, interview coaching, and intelligent matching.
- Prototype AI-powered features with current models and scale successful concepts to thousands of users.
- Develop the intelligence layer and data flywheel that improve the marketplace through candidate conversations, matches, and hires.
- Make trade-offs between model cost, quality, speed, user experience, and business impact.
Requirements
- Strong proficiency with TypeScript, Node.js, React, and Next.js across the stack.
- Experience shipping LLM-powered or other production AI features to real users.
- Product engineering mindset with the ability to define product direction as well as implementation.
- Experience with PostgreSQL, efficient queries, database schemas, and end-to-end data flow.
- 5+ years of experience, including meaningful experience in fast-paced environments with end-to-end ownership.
- Fluency with AI coding tools such as Claude Code, Cursor, or Copilot, including effective workflows for using them.
Nice to have
- Voice AI or conversational interface experience.
- Experience with agentic systems, AI orchestration, or Temporal.io.
- Marketplace, recruiting, or HR technology experience.
- Serverless architecture, GCP, or Python for AI/ML tooling.
- Experience creating custom skills, rules, or workflows for AI coding assistants.
Culture & Benefits
- Opportunity to experiment with current AI models and rapidly test new ideas.
- Work with real users and receive immediate product feedback.
- Early-stage environment with the opportunity to shape architecture and culture.
- Flat structure, minimal red tape, and streamlined decision-making.
- Meaningful equity and a sustainable pace supported by repeat founders.
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