4 дня назад
Software Engineer Intern (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer Intern (AI): Building and shipping production features, AI tools, agent workflows, and evaluation systems with an accent on TypeScript, Node.js, APIs, testing, and cloud infrastructure. Focus on orchestrating coding agents, validating AI-generated output, designing evals, and delivering tools used by millions of members.
Location: Remote, associated with San Francisco, California
Company
is an Asia-Pacific shopping, rewards, and payments platform serving more than 20 million active members across 13 markets.
What you will do
- Own a scoped engineering project from design through production with mentor support.
- Ship production features used by millions of members worldwide.
- Use coding agents as part of the development process and review, test, and verify their output.
- Build reusable AI skills, tools, or agent workflows for the engineering team.
- Write evaluations and tests to measure the quality of AI-powered work.
Requirements
- Strong software engineering fundamentals, including clean code, design patterns, data structures, APIs, and testing.
- Projects built outside class, such as side projects, hackathons, open source, or freelance work.
- Practical experience applying AI through LLM applications, agents, MCP servers, automation, or model and prompt evaluations.
- Curiosity, skepticism, fast learning, and the ability to investigate and verify AI-generated answers.
- Experience with or willingness to work with TypeScript, Node.js, Postgres, Kafka, Kubernetes, GitLab, Datadog, Claude Code, and MCP.
Nice to have
- Agents that use tools, maintain memory, or run multi-step workflows.
- AI evaluations or tests measuring improvements in output quality.
- Projects shipped to real users.
- Deployment experience on a cloud platform.
Culture & Benefits
- Ownership, thoughtful judgment, rapid learning, and persistence are valued.
- Opportunities for career growth and greater challenges.
- Competitive performance-based compensation.
- Open, candid, and collaborative culture with valued feedback.
Hiring process
- Applicants may complete an assessment as part of the recruitment process.
- With consent, screen activity or webcam images may be captured during an assessment to verify test integrity.
- AI tools may assist with application and assessment review, while final hiring decisions are made by humans.
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