Generative AI Intern – Summer Intern 2026
The Company
Munich Re America Services (MRAS) is a shared service organization that delivers services to all Munich Re US P&C Companies and other group entities.
The Opportunity The intern will gain full‑stack AI engineering experience across prompt optimization, LLM integration, testing, debugging, and AWS deployment. Working directly with underwriting teams provides real‑world context for business impact, while infrastructure work builds cloud‑native development skills. This exposure across product, AI, and infrastructure creates a well‑rounded engineer who understands how to build and deploy AI systems at scale.
We are seeking a strong candidate with demonstrated understanding of AI fundamentals, particularly around Large Language Models and generative AI. This foundational knowledge will directly elevate their impact in day‑to‑day duties, enabling them to make informed decisions about prompt engineering strategies, troubleshoot LLM behavior effectively, and contribute meaningfully to infrastructure decisions. A candidate who understands how models like ChatGPT and Claude work will be better equipped to optimize our summarization systems and anticipate challenges in production. This is a high‑ownership role where AI literacy translates directly into better outcomes for our underwriters and the business.
Responsibilities
Develop and refine prompts for life insurance application and claims summarization to improve accuracy and relevance for underwriters
Write and execute tests to validate AI model outputs, ensuring summaries meet quality standards
Debug issues in LLM integrations and identify performance bottlenecks
Assist with deploying AI features to AWS environments and managing infrastructure updates
Contribute to DevOps practices including CI/CD pipelines, monitoring, and infrastructure automation
Collaborate with underwriting and product teams to gather feedback and iterate on AI solutions
Document technical implementations and maintain knowledge base for future development
Job Requirements
Grade Level: current rising seniors (2027) and currently enrolled master’s students
Preferred major: Computer Science/Engineering, Data and Information Science
Communication and clarity in writing and verbal explanations
Collaboration and teamwork
Problem‑solving and critical thinking
Attention to detail
Time management and ability to prioritize tasks
Adaptability and willingness to learn
Taking initiative and ownership of work
Receiving feedback and implementing improvements
Asking clarifying questions when needed
Documentation and knowledge sharing
Computer Skills:
Python/TypeScript/C/C++
Git and version control
Web Development (React, Angular, Vue)
Docket and containerization
Kubernetes
SQL, NoSQL
Azure or AWS Experience preferred
API Development (FastAPI, Flask, Express.js, REST APIs)
Testing & Debugging
Prompt Engineering
Large Language Models (LLMs) and generative AI fundamentals
Other Skills:
Technical documentation and knowledge sharing
Presentation skills (demos, stand‑ups, explaining work)
Research and information gathering
Open source contribution experience
Understanding of security best practices
Basic UI/UX design awareness
This role will be based in Princeton, NJ. The base range for this internship will be $25.00 - $32.00 per hour. Factors that may be used to determine your actual rate will include your specific skills, level of schooling and how many years of experience.
At Munich Re, we see Diversity, Equity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services.
We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
#J-18808-Ljbffr
The Opportunity The intern will gain full‑stack AI engineering experience across prompt optimization, LLM integration, testing, debugging, and AWS deployment. Working directly with underwriting teams provides real‑world context for business impact, while infrastructure work builds cloud‑native development skills. This exposure across product, AI, and infrastructure creates a well‑rounded engineer who understands how to build and deploy AI systems at scale.
We are seeking a strong candidate with demonstrated understanding of AI fundamentals, particularly around Large Language Models and generative AI. This foundational knowledge will directly elevate their impact in day‑to‑day duties, enabling them to make informed decisions about prompt engineering strategies, troubleshoot LLM behavior effectively, and contribute meaningfully to infrastructure decisions. A candidate who understands how models like ChatGPT and Claude work will be better equipped to optimize our summarization systems and anticipate challenges in production. This is a high‑ownership role where AI literacy translates directly into better outcomes for our underwriters and the business.
Responsibilities
Develop and refine prompts for life insurance application and claims summarization to improve accuracy and relevance for underwriters
Write and execute tests to validate AI model outputs, ensuring summaries meet quality standards
Debug issues in LLM integrations and identify performance bottlenecks
Assist with deploying AI features to AWS environments and managing infrastructure updates
Contribute to DevOps practices including CI/CD pipelines, monitoring, and infrastructure automation
Collaborate with underwriting and product teams to gather feedback and iterate on AI solutions
Document technical implementations and maintain knowledge base for future development
Job Requirements
Grade Level: current rising seniors (2027) and currently enrolled master’s students
Preferred major: Computer Science/Engineering, Data and Information Science
Communication and clarity in writing and verbal explanations
Collaboration and teamwork
Problem‑solving and critical thinking
Attention to detail
Time management and ability to prioritize tasks
Adaptability and willingness to learn
Taking initiative and ownership of work
Receiving feedback and implementing improvements
Asking clarifying questions when needed
Documentation and knowledge sharing
Computer Skills:
Python/TypeScript/C/C++
Git and version control
Web Development (React, Angular, Vue)
Docket and containerization
Kubernetes
SQL, NoSQL
Azure or AWS Experience preferred
API Development (FastAPI, Flask, Express.js, REST APIs)
Testing & Debugging
Prompt Engineering
Large Language Models (LLMs) and generative AI fundamentals
Other Skills:
Technical documentation and knowledge sharing
Presentation skills (demos, stand‑ups, explaining work)
Research and information gathering
Open source contribution experience
Understanding of security best practices
Basic UI/UX design awareness
This role will be based in Princeton, NJ. The base range for this internship will be $25.00 - $32.00 per hour. Factors that may be used to determine your actual rate will include your specific skills, level of schooling and how many years of experience.
At Munich Re, we see Diversity, Equity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services.
We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
#J-18808-Ljbffr