11 часов назад
AI Software Engineers
224 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Software Engineers (AI/LLM/Fullstack): Building and deploying AI-powered internal applications and shared infrastructure that automate workflows, accelerate decision-making, and integrate frontier models with business systems with an accent on LLM APIs, agentic frameworks, and full-stack development. Focus on designing custom integrations with GitHub, Slack, Notion, JIRA, Salesforce, and internal APIs, while creating scalable foundations that enable organization-wide AI adoption.
Location: On-site in San Francisco, CA; Austin, TX; New York, NY; or Seattle, WA
Salary: $224,000–$300,000 per year plus equity
Company
builds and operates large-scale compute infrastructure and data centers for AI.
What you will do
- Build internal AI-powered tools and applications that automate workflows, accelerate decision-making, and reduce manual work.
- Design and maintain shared AI infrastructure, including organizational skills and agent documentation.
- Integrate AI capabilities into existing products and internal tools where they can deliver measurable impact.
- Develop custom integrations between LLMs and systems such as GitHub, Slack, Notion, JIRA, Salesforce, and internal APIs.
- Track emerging AI capabilities and identify opportunities to apply them to operational challenges.
- Create documentation and support teams adopting and extending the tools.
Requirements
- 3+ years of software engineering experience writing production-grade code in Go, Python, and TypeScript.
- Strong full-stack development skills and experience building web applications with React, Next.js, or similar frameworks.
- Hands-on experience with LLM APIs, MCP servers, and agentic frameworks.
- Deep knowledge of AI coding-agent tools such as Claude Code, Cursor, and Antigravity.
- Ability to work autonomously, identify problems, design solutions, and deliver high-impact results.
- Strong systems thinking, product intuition, and communication skills for working with non-technical stakeholders.
Culture & Benefits
- Competitive total compensation including cash and equity.
- Health, dental, and vision insurance.
- Retirement plan.
- Generous paid time off policy.
- Focus on rapidly scaling compute infrastructure for AI and applying AI across organizational operations.
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