5 часов назад
Fullstack Engineer (AI)
160 000 - 230 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Fullstack Engineer (AI): Building user-facing functionality, backend APIs, and AI-native workflows for an enterprise IT service and configuration management platform with an accent on scalable services, graph-based architecture, and enterprise security. Focus on integrating LLM capabilities, shaping the frontend and backend stack, and designing distributed systems for millions of users.
Location: On-site in NYC, NY, five days a week at the Flatiron District, Manhattan office
Salary: $160,000–$230,000 USD per year
Company
is a seed-stage AI-native startup building an enterprise IT service and configuration management platform using AI, graph-based architecture, and design.
What you will do
- Design, implement, test, and deploy user-facing features and backend APIs end to end.
- Work across frontend, backend, and database layers while helping define the technology stack.
- Integrate AI and LLM capabilities into IT service management workflows.
- Build performant, secure, and scalable services for enterprise customers.
- Collaborate with platform engineering, product, and design on infrastructure and user experience.
- Improve developer productivity through internal tooling, code quality, CI/CD, security, and compliance practices.
Requirements
- Experience in fullstack engineering or end-to-end software ownership in SaaS products serving enterprise customers.
- Frontend experience with React, Vue, Angular, or a similar modern framework, including design systems and performant UI development.
- Backend proficiency in Python, Go, Rust, C++, or a similar modern language, with experience designing REST or GraphQL APIs and distributed systems.
- Hands-on experience with relational databases such as PostgreSQL or MySQL; graph or other non-relational database experience is beneficial.
- Strong experience with AWS, GCP, or Azure and familiarity with CI/CD, Docker, Kubernetes, and Terraform.
- Degree in Computer Science, Engineering, or a related field and a pragmatic, product-driven approach.
Nice to have
- Experience integrating AI or LLM capabilities into applications.
- Exposure to IT service management or enterprise workflows.
- Experience taking products from 0 to 1.
Culture & Benefits
- Opportunity to build foundational features for an AI-first enterprise platform.
- Ownership of critical systems designed to scale to millions of users.
- Culture focused on craftsmanship, autonomy, and technical excellence.
- Competitive compensation, equity, and benefits package.
- Collaborative, in-person work alongside the founding team.
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