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1 день назад

Part-Time Student Worker AI & Automation: Supply Chain, Quality & Reliability (AI Engineering)

2 400$
Формат работы
hybrid
Тип работы
parttime
Грейд
trainee
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Part-Time Student Worker AI & Automation (AI Engineering): Developing AI-driven solutions for supply chain, quality, and reliability operations with an accent on agentic systems and RAG pipelines. Focus on building production-ready tools, integrating MCP servers, and coaching teams on AI adoption.

Location: Hybrid, Foster City, CA. Must be able to commute on-site.

Salary: $30 per hour

Company

hirify.global develops autonomous vehicle technology to transform urban transportation.

What you will do

  • Partner with SCQR leaders to identify high-leverage opportunities where AI can eliminate toil and accelerate decisions.
  • Design and build AI agents, RAG pipelines, and MCP server integrations using real supply chain and procurement data.
  • Develop and ship production-ready tools for daily operational use within the organization.
  • Conduct coaching sessions and create documentation to enable team members to maintain AI capabilities.
  • Create reusable AI components and playbooks for future co-op cohorts.
  • Present progress and measured impact to SCQR leadership.

Requirements

  • Currently pursuing a BS or MS in Computer Science, Engineering, or Machine Learning, enrolled in a co-op program.
  • Ability to commute on-site to Foster City, CA.
  • Minimum 12-week commitment (up to 6 months), available at least 20 hours per week.
  • Hands-on experience building agentic AI systems (function calling, tool use, multi-step planning).
  • Proficiency in Python and experience with LLM provider APIs (e.g., Anthropic, OpenAI).
  • Experience with RAG, fine-tuning, or Model Context Protocol (MCP) server development.

Nice to have

  • Exposure to manufacturing, supply chain, procurement, or reliability engineering.
  • Experience shipping AI-powered tools used by actual users.
  • Familiarity with enterprise platforms like Snowflake, Databricks, SAP, or Oracle.
  • Experience with LLM evaluations, observability, and safety tooling.

Culture & Benefits

  • Opportunity to work on a dedicated AI & Automation initiative with direct executive visibility.
  • Hands-on experience with production-scale AI in the autonomous vehicle industry.
  • Benefits package as provided by the contracting vendor.

Hiring process

  • AI tools may be used to assist in resume screening and application analysis.
  • Final hiring decisions are made exclusively by human recruiters and managers.

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