AI Engineer Intern

3w3 weeks ago

Bosch Group

Ho Chi Minh City, VN · Internship

About this role

This is hands-on AI engineering inside a global product at scale. Our workflow platform—serving 500,000+ users worldwide—is evolving into a fully AI-native system. Built on advanced low-code/no-code architecture and accelerated by Generative AI, we redefine how enterprise applications are designed, generated, validated, and scaled.

We are building agentic AI systems that generate entire workflow applications: business logic, user interfaces, system integrations. Your role ensures these systems work accurately, reliably, and at scale. Assist to build and validate AI-generated applications and make them trustworthy for enterprise use.

Operate at the intersection of AI Engineering × Software Engineering × Product Reality. Work where AI meets reality: real systems, real users, real constraints. Bosch Global Software Technologies is the first software development center of Bosch in Southeast Asia with over 4,000 associates and global footprint.

The Bosch Group offers end-to-end solutions connecting sensors, software, and services. Enable businesses to move from traditional to digital. Become a top-tier AI engineer in 2–3 years—this is your acceleration path.

Requirements

Recommendation Letter for 6-months internship program from your University
Knowledge of Generative AI and agentic AI systems
Familiarity with software engineering principles for code validation
Ability to analyze legacy source code and AI-generated outputs
Understanding of business logic, UI behavior, APIs, integrations, data handling, and security
Interest in hands-on AI engineering over theoretical roles

Responsibilities

Work with product leaders and domain experts to understand real workflows, rules, and edge cases
Build and improve Generative AI and agentic AI systems
Deep dive into legacy source code and compare with AI-generated outputs
Design and execute rigorous validation strategies across business logic and rules, UI behavior, APIs and integrations, data handling and security constraints
Train and refine AI agents through structured feedback loops
Generate, test, and optimize AI-produced code with engineering-level precision
Contribute to prompt engineering and system tuning