Internship - AI/ML Engineering (m/f/x)

Scalablegmbh; Berlin; On-site; EUR 12,000 - 20,000; Part time

Benefits offered by this job

Internship remuneration

International team

Knowledge sharing sessions

Latest hardware and tools

Prime+ Broker subscription

Job summary

Scalablegmbh Berlin invites motivated students to join our ML/LLMOps team for an internship focused on AI agent infrastructure, model evaluation, testing, and deployment in AWS. You will explore LLM frameworks, agent architectures, and integrations with third‑party APIs.

You will design evaluation systems for reasoning quality and reliability, help automate AI agent pipelines with RAG, document findings in our knowledge base, and contribute to data pipelines.

Qualifications

• Excellent academic background in a quantitative discipline (computer science, machine learning, data science, financial mathematics, engineering, physics, or a similar field)
• Currently pursuing a Bachelor's or Master's degree
• First experiences with Cloud Infrastructure (AWS)
• Hands on experience in Python and knowledge of state-of-the-art LLM frameworks, RAG and vector databases (e.g. LangChain, LangGraph, OpenSearch)
• Experience with ML packages in Python (e.g., pandas, numpy, scikit-learn)
• Curiosity and enthusiasm to learn new technologies and build reliable AI systems
• Fluency in English (written & spoken)

Responsibilities

• Enhance ML/LLMOps and AI Agent infrastructure for model evaluation, testing, and deployment within an AWS environment
• Evaluate and implement different LLM frameworks, AI agent architectures, and 3rd party APIs
• Design and experiment with AI agent evaluation systems to measure reasoning quality, reliability, and consistency
• Support the development and automation of AI agent systems and Retrieval-Augmented Generation (RAG) pipelines
• Document findings in internal knowledge base
• Contribute to development, improvement, and automation of ML and data pipelines
• Gain experience in industry critical infrastructure technologies

Skills

Python

English proficiency

Curiosity to learn

Result-oriented

Education

Bachelor's or Master's student

Tools

LangChain

LangGraph

OpenSearch

Pytest

FastAPI

AWS

Job description

Job Overview

Enhance our ML/LLMOps and AI Agent infrastructure for model evaluation, testing, and deployment within an AWS environment.

Evaluate and implement different LLM frameworks, AI agent architectures, and 3rd party APIs.

Design and experiment with AI agent evaluation systems to measure reasoning quality, reliability, and consistency.

Support the development and automation of AI agent systems and Retrieval-Augmented Generation (RAG) pipelines.

Document your findings in our internal knowledge base

Contribute to the development, improvement, and automation of our machine learning and data pipelines

Gain experience in industry critical infrastructure technologies and apply them productively

Qualifications

• Excellent academic background in a quantitative discipline (computer science, machine learning, data science, financial mathematics,, engineering, physics, or a similar field)
• Currently pursuing a Bachelor's or Master's degree.
• First experiences with Cloud Infrastructure (AWS)
• Hands on experience in Python Fundamental knowledge in state-of-the-art LLM frameworks, RAG and vector databases (e.g. LangChain, LangGraph,, OpenSearch)
• First-hand experience with creating LLM-powered applications, AI agents, tool use, and multi-step reasoning workflows. (e.g. Chatbots, information retrieval, document summarization)
• Experience with ML packages in Python (e.g., pandas, numpy, scikit-learn, statsmodels)
• Curiosity and enthusiasm to learn new technologies and build reliable AI systems.
• Result-oriented and pragmatic way of working
• Fluency in English (written & spoken)

Please also provide us with your latest transcript of records and if applicable your work references

Nice to have

• Experience with AI Agent or RAG Evaluation Systems (e.g. LLM-as-a-judge, automated scoring pipelines, or Langfuse-based evaluation).
• Good understanding of software engineering principles, including API development, code versioning, and testing frameworks (e.g. Pytest, FastAPI, etc.)
• Familiarity with end-to-end ML projects
• Experience with Infrastructure as Code (IaC) like terraform is a plus
• Experience with CI/CD frameworks (e.g. Jenkins, Gitlab CI/CD) is a plus

Benefits & Company Culture

• Be part of one of the fastest-growing and most visible Fintech startups in Europe, creating innovative services that have a substantial impact on the lives of our customers
• The ability to work with an international, diverse, inclusive, and ever-growing team that loves creating the best products for our clients
• All internships are worth the same with us: we also remunerate mandatory internships
• Learn and grow by joining our in-house knowledge sharing sessions
• Work productively with the latest hardware and tools
• Free subscription to the PRIME+ Broker