5 часов назад
AI Backend Product Engineer (AI)
200 000 - 400 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Backend Product Engineer (AI): Building and shipping AI-native revenue platform features end to end, from prototypes with modern models and APIs to reliable production systems with an accent on backend development, product collaboration, and AI-powered workflows. Focus on turning ambiguous customer problems into scalable product experiences, improving system reliability, and evolving development and deployment tooling.
Location: San Francisco, United States; onsite 5 days per week
Salary: $200K–$400K per year
Company
is building an AI-native revenue platform that unifies CRM, sequencing, call recording, enrichment, and pipeline management in one enterprise software system.
What you will do
- Build and ship product features end to end across the stack.
- Collaborate with product and design to solve customer problems and turn ambiguous ideas into usable features.
- Explore how AI can improve existing workflows and enable new product experiences.
- Prototype with modern AI models and APIs, then turn successful experiments into reliable production features.
- Keep systems fast, reliable, and easy to iterate on.
- Improve development workflows, tooling, and deployment processes, including the use of AI-powered development tools.
Requirements
- 2+ years of experience building product-driven software.
- Strong proficiency in at least one modern programming language, such as JavaScript/TypeScript or Go, with some Python exposure.
- Experience with web frameworks, APIs, and cloud infrastructure.
- Strong product instincts and comfort working through ambiguous problems.
- Curiosity, pragmatism, and enthusiasm for building with AI; prior professional AI/ML experience is not required.
- Ability to work onsite in San Francisco 5 days per week.
Culture & Benefits
- High-autonomy, high-paced environment focused on reinventing enterprise software.
- Hands-on ownership from initial prototype through production and continued iteration.
- In-person collaboration focused on product quality and team cohesion.
- Opportunity to work on a rapidly evolving AI-native product with strong early product-market fit.
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