AI Application Development Engineer Graduate (Corporate Service System - Procurement) - 2027 Start
Role Overview
The Corporate Information department builds corporate service systems that support global business growth and improve employee efficiency and experience.
The team is transforming procurement into an AI-native platform, building Procurement Agents and the underlying System AI Harness.
The graduate role offers early-career work in AI agent engineering and a complex business domain.
Key Skills for This Role
Full Job Posting
Team and role
The Corporate Information department builds corporate service systems that support global business growth and improve employee efficiency and experience.
The team is transforming procurement into an AI-native platform, building Procurement Agents and the underlying System AI Harness.
The graduate role offers early-career work in AI agent engineering and a complex business domain.
Responsibilities
- Build and explore Procurement Agents and the System AI Harness, owning design, implementation, validation, release, and improvement.
- Develop and maintain core services, business logic, data flows, and system integrations for AI-native procurement.
- Implement agent planning, tool use, memory, and multi-step reasoning as reliable production features.
- Prototype and evaluate emerging AI techniques and translate promising ideas into practical product capabilities.
- Work with product managers, designers, and engineers to deliver end-to-end solutions to complex problems.
Minimum qualifications
- Currently pursuing or recently completed a bachelor's degree or higher in Computer Science, Software Engineering, or a related field, and eligible for the 2027 campus hiring program.
- Proficiency in one or more of Golang, Java, or Python, with solid programming fundamentals and good coding habits.
- Able to design, build, test, and maintain complete features; solid system-design and coding-implementation capabilities.
- Experience with AI-related projects or research, innovation, and strong hands-on ability.
- Curiosity, self-motivation, logical thinking, and ability to work independently and break down problems.
Preferred qualifications
- Hands-on experience with AI applications, agent products, AI coding tools, or developer productivity solutions.
- Experience with LLM systems, prompt engineering, RAG, tool/function calling, or agent orchestration frameworks.
- Internship, academic, open-source, or personal project experience showing end-to-end ownership of a substantial system.
- Experience improving system performance, engineering efficiency, or stability in real-world projects.
- Competition achievements, research publications, or high-quality open-source contributions.
Application process
- Successful candidates must be able to commit to an onboarding date by year-end; applicants are asked to state availability and graduation date on their resume.
- Candidates who pass resume screening will be invited to a technical online assessment.
- Applicants may apply to a maximum of two positions across the company and its affiliates; applications are reviewed on a rolling basis.
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