[Bosch R&D - Internship] AI Agent Building Internat Bosch

Company Description

Bosch first started in Vietnam with a representative office in 1994. Bosch has its main office in Ho Chi Minh City, with branch offices in Hanoi and Da Nang, and a Powertrain Solutions plant in the Dong Nai province to manufacture push belt for continuously variable transmissions (CVT) in automobiles. In addition, Bosch operates a software and engineering solutions from product engineering, tool development & automation as well as testing & validation solutions (Bosch Global Software Technologies Vietnam).
In July 2014, Bosch set up a new Automotive R&D Center, located in Ho Chi Minh City. The continuous growth of this Centre is in line with Bosch’s strategy in Vietnam, which aims at becoming a manufacturing and R&D hub in the Southeast Asian region. Currently four products are available: connectors, push belt, fuel supply, and diagnosis module (tank leakage).

For further information, please visit our website: www.bosch.com.vn

Job Description

• Support the development of AI Agents for Engineering use cases using Microsoft Copilot Studio, Python, and LangChain framework.
• Understand core components of AI Agent architecture, including prompt design, tool integration, memory management, orchestration, and evaluation of responses.
• Design and implement data ingestion pipelines, connecting to enterprise data sources (e.g., SharePoint, databases, APIs) to enable intelligent retrieval and summarization.
• Support the development of agent workflows for engineering processes (e.g., document analysis, test report summarization, problem-solving support such as 8D).
• Assist in building and integrating AI capabilities into existing platforms (e.g., Microsoft ecosystem: Azure, Power Platform, DevOps).
• Conduct testing, evaluation, and performance measurement of AI agents (accuracy, latency, completeness of answers), and document results.
• Collaborate with product owners, engineers, and data experts to continuously improve agent capabilities and usability.

Qualifications

• Undergraduate student majoring in Computer Science, Software Engineering, Data Engineering, AI/ML, or related fields.
• Strong background in programming and computational problem solving (preferably Python).
• Basic understanding or experience (academic projects acceptable) in AI/ML, NLP, or chatbot/agent development.
• Familiarity with Python frameworks (e.g., LangChain), REST APIs, or Microsoft platforms (Power Platform, Azure) is a plus.
• Strong interest in AI Agent technologies, Generative AI, and applied engineering use cases.
• Willingness to learn new technologies, proactive mindset, and ability to work independently with minimal guidance.
• Good communication skills in English and ability to work in an international team environment.

Additional Information

• A learning-driven, professional, inclusive multinational work environment fosters personal growth and expands professional networks.
• An attractive monthly allowance.
• Hands-on experience in an advanced engineering simulation and product development field.
• Opportunity to apply technical knowledge skills in a real work.
• Collaboration with experienced engineers and professionals.

Videos To Watch

Support the development of AI Agents for Engineering use cases using Microsoft Copilot Studio, Python, and LangChain framework.

Understand core components of AI Agent architecture, including prompt design, tool integration, memory management, orchestration, and evaluation of responses.

Design and implement data ingestion pipelines, connecting to enterprise data sources (e.g., SharePoint, databases, APIs) to enable intelligent retrieval and summarization.

Support the development of agent workflows for engineering processes (e.g., document analysis, test report summarization, problem-solving support such as 8D).

Assist in building and integrating AI capabilities into existing platforms (e.g., Microsoft ecosystem: Azure, Power Platform, DevOps).

Conduct testing, evaluation, and performance measurement of AI agents (accuracy, latency, completeness of answers), and document results.

Collaborate with product owners, engineers, and data experts to continuously improve agent capabilities and usability.

Qualifications Undergraduate student majoring in Computer Science, Software Engineering, Data Engineering, AI/ML, or related fields.

Strong background in programming and computational problem solving (preferably Python).

Basic understanding or experience (academic projects acceptable) in AI/ML, NLP, or chatbot/agent development.

Familiarity with Python frameworks (e.g., LangChain), REST APIs, or Microsoft platforms (Power Platform, Azure) is a plus.

Strong interest in AI Agent technologies, Generative AI, and applied engineering use cases.

Willingness to learn new technologies, proactive mindset, and ability to work independently with minimal guidance.

Good communication skills in English and ability to work in an international team environment.

Additional Information A learning-driven, professional, inclusive multinational work environment fosters personal growth and expands professional networks.

An attractive monthly allowance.

Hands-on experience in an advanced engineering simulation and product development field.

Opportunity to apply technical knowledge skills in a real work.

Collaboration with experienced engineers and professionals.

Videos To Watch

• Undergraduate student majoring in Computer Science, Software Engineering, Data Engineering, AI/ML, or related fields.
• Strong background in programming and computational problem solving (preferably Python).
• Basic understanding or experience (academic projects acceptable) in AI/ML, NLP, or chatbot/agent development.
• Familiarity with Python frameworks (e.g., LangChain), REST APIs, or Microsoft platforms (Power Platform, Azure) is a plus.
• Strong interest in AI Agent technologies, Generative AI, and applied engineering use cases.
• Willingness to learn new technologies, proactive mindset, and ability to work independently with minimal guidance.
• Good communication skills in English and ability to work in an international team environment.

• A learning-driven, professional, inclusive multinational work environment fosters personal growth and expands professional networks.
• An attractive monthly allowance.
• Hands-on experience in an advanced engineering simulation and product development field.
• Opportunity to apply technical knowledge skills in a real work.
• Collaboration with experienced engineers and professionals.

Videos To Watch