Intern Software Engineering

Shanghai - China

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Description

In This Role Your Responsibilities Will Be:

Support deployment optimization and performance improvement of large language and multimodal models in internal intelligent use cases (such as knowledge search content drafting and productivity assistants).
Package and integrate large model APIs into internal applications and business workflows to enable intelligent upgrades across functions.
Help organize and structure internal knowledge assets (documents FAQs wikis) build an efficient retrieval experience and improve model responses using retrievalaugmented generation (RAG) techniques.
Research test and refine high-quality prompts to improve task execution controllability and output quality across different scenarios.
Develop proofofconcept and production-ready AI capabilities such as smart Q&A document generation summarization and code assistancefocusing on usability reliability and measurable value.
Stay current on advances in large language models and multimodal AI and help evaluate emerging tools and approaches for responsible adoption within the company.

Who You Are:

You learn quickly and apply new ideas to real problems experimenting thoughtfully and improving solutions based on results. You build collaborative relationships communicate clearly and enjoy partnering with others to deliver outcomes. You balance curiosity with practical execution using data and feedback to iterate and improve. You take ownership of your work follow through on commitments and look for ways to simplify processes and help teams work more effectively.

For This Role You Will Need:

Currently pursuing a degree in Computer Science Data Science Software Engineering Information Systems or a related field (or equivalent hands-on experience through projects).
Familiarity with Python and/or another programming language used for prototyping and integration.
Basic understanding of large language models and common GenAI concepts (e.g. embeddings prompt design evaluation hallucination risks).
Ability to communicate effectively in English (written and verbal) and collaborate with cross-functional stakeholders.
A structured detail-oriented approach to problem solving documentation and testing.

Preferred Qualifications That Set You Apart:

Experience building with GenAI frameworks or toolkits (e.g. LangChain LlamaIndex) and implementing RAG pipelines.
Exposure to API integration microservices or workflow automation; familiarity with containers (Docker) is a plus.
Understanding of search/retrieval fundamentals (vector databases indexing ranking) and practical evaluation methods.
Experience developing internal tools (chatbots knowledge assistants) with attention to security privacy and access control.
Interest in multimodal AI (text image/document processing) and techniques to optimize latency and cost

Our Culture & Commitment to You:

At Emerson we prioritize a workplace where every employee is valued respected and empowered to grow. We foster an environment that encourages innovation collaboration and diverse perspectivesbecause we know great ideas come from great teams. As an intern you will receive guidance feedback and opportunities to learn through real-world projects that make a meaningful impact.

We recognize the importance of wellbeing and belonging. Emerson supports employees through inclusive communities recognition programs and benefits designed to help people thrive. We are committed to creating an environment where you can do your best work develop your skills and build a strong foundation for your career.

Required Experience:

Intern

DescriptionIn This Role Your Responsibilities Will Be:Support deployment optimization and performance improvement of large language and multimodal models in internal intelligent use cases (such as knowledge search content drafting and productivity assistants).Package and integrate large model APIs i...

Description

In This Role Your Responsibilities Will Be:

Support deployment optimization and performance improvement of large language and multimodal models in internal intelligent use cases (such as knowledge search content drafting and productivity assistants).
Package and integrate large model APIs into internal applications and business workflows to enable intelligent upgrades across functions.
Help organize and structure internal knowledge assets (documents FAQs wikis) build an efficient retrieval experience and improve model responses using retrievalaugmented generation (RAG) techniques.
Research test and refine high-quality prompts to improve task execution controllability and output quality across different scenarios.
Develop proofofconcept and production-ready AI capabilities such as smart Q&A document generation summarization and code assistancefocusing on usability reliability and measurable value.
Stay current on advances in large language models and multimodal AI and help evaluate emerging tools and approaches for responsible adoption within the company.

Who You Are:

For This Role You Will Need:

Currently pursuing a degree in Computer Science Data Science Software Engineering Information Systems or a related field (or equivalent hands-on experience through projects).
Familiarity with Python and/or another programming language used for prototyping and integration.
Basic understanding of large language models and common GenAI concepts (e.g. embeddings prompt design evaluation hallucination risks).
Ability to communicate effectively in English (written and verbal) and collaborate with cross-functional stakeholders.
A structured detail-oriented approach to problem solving documentation and testing.

Preferred Qualifications That Set You Apart:

Experience building with GenAI frameworks or toolkits (e.g. LangChain LlamaIndex) and implementing RAG pipelines.
Exposure to API integration microservices or workflow automation; familiarity with containers (Docker) is a plus.
Understanding of search/retrieval fundamentals (vector databases indexing ranking) and practical evaluation methods.
Experience developing internal tools (chatbots knowledge assistants) with attention to security privacy and access control.
Interest in multimodal AI (text image/document processing) and techniques to optimize latency and cost

Our Culture & Commitment to You:

Required Experience:

Intern

Key Skills

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About Company

Emerson

Emerson has refocused its business portfolio to deliver solutions that bring greater value to our customers. About Emerson We concentrate on the most complex, profound challenges facing the world in the process, industrial, commercial and residential markets. Our global talent, best-i ... View more

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