Gen AI Research Intern or Working Student
Gen AI Research Intern or Working Student
Gen AI Research Intern or Working Student
Gen AI Research Intern or Working Student
Porters
Internet, IT
Zürich
- Art der Beschäftigung: Studierende
- Vor Ort
- Zu den Ersten gehören
Gen AI Research Intern or Working Student
Über diesen Job
Porters
Gen AI Research Intern or Working Student
We’re looking for an AI-native intern or working student excited to experiment with new prompt/context engineering methods, burn tokens, build benchmarks, and set up evals; all to push the performance of our GenAI and agentic capabilities.
This job is in person (Zurich, Switzerland).
Your responsibilities
Establish and Execute the End-to-End Evaluation Workbench: Design, implement, and manage the full prompt evaluation lifecycle, including prompt development, test batch definition, model execution, and rigorous performance scoring using established metrics.
Develop and Refine Robust Evaluation Metrics and Frameworks: Select, implement, and potentially create custom quantitative and qualitative metrics (Evals) tailored to objectively measure the quality, accuracy, and desired behavior of model outputs against defined benchmarks.
Systematically Drive Prompt Optimization (Closed-Loop): Conduct in-depth analysis of evaluation results, identify performance gaps, and iteratively refine and update prompts (e.g., system prompts, few-shot examples, chain-of-thought) to maximize model performance and maintain alignment with goals.
Pioneer Automation for Continuous Improvement: Contribute to the design and initial implementation of a closed-loop feedback system with the long-term goal of autonomously updating prompts and/or model parameters based on evaluation outcomes to consistently drive accuracy.
Document and Communicate Key Performance Insights: Clearly document the evaluation methodology, results, prompt versions, and provide actionable recommendations and conclusions to stakeholders, focusing on the trade-offs and path to optimal performance.
Your Profile
Academic Background: Currently pursuing a Bachelor’s or Master’s degree in Data Science, Computational Linguistics, Artificial Intelligence, Computer Science, or a closely related quantitative field.
Technical Proficiency: Strong proficiency in Python is mandatory, including experience with data manipulation libraries like Pandas and NumPy, and ideally, experience utilizing modern LLM frameworks/libraries (e.g., Hugging Face, OpenAI API/SDKs, LangChain, LlamaIndex).
Prompt Engineering & LLM Knowledge: Demonstrated foundational understanding of Large Language Models (LLMs), including the principles of prompt engineering (e.g., few-shot, chain-of-thought) and different LLM evaluation techniques (e.g., human-in-the-loop vs. automated evals).
Analytical & Problem-Solving Aptitude: Proven ability to approach complex, unstructured problems (like performance comparison and optimization) with a systematic, data-driven methodology; capable of translating evaluation results into concrete prompt refinements.
Logistical Requirement: Must be able to work on-site in Zurich, Switzerland for the duration of the internship.
What We Offer
Direct Impact:
You won't be a cog in a machine. You will work directly with clients, ship fast, and see your code running in production at major financial institutions
Founder Collaboration:
Work closely with founders who have successfully built and scaled fintech and analytics products before
Compensation:
Competitive salary and significant equity on top of your compensation
Growth:
A dedicated development budget—free to use for whatever gives you a level-up
Gear & Culture:
New MacBook, merch, regular team events and dinners, a fast-paced, inclusive, and impact-oriented culture
Our stack
LLM Infrastructure:
AWS Bedrock
(Anthropic Claude, Mistral, Gemini) and AWS ECS Fargate.
Data Science:
Python (
Pandas, NumPy
) for high-volume data manipulation and evaluation.
Frameworks:
LangChain, LlamaIndex, and custom agentic workflow pipelines.
R&D Tooling:
Agentic IDEs (
Kiro, Cursor
) for accelerated experimentation.
If what’s written above speaks to you, whether you look like a fit on paper or not, please reach out to the Porters founders
Michael
,
Chris
, and
Konstantin
on
founders@withporters.com
Read more about Porters, our vision and our team here:
Join Porters