Junior AI developer

As a junior AI developer, you will develop robust backend services (primarily in Python) to integrate LLMs, vector databases, and other AI components into existing application landscapes

You will be in charge of writing clean, secure, and maintainable code following central code quality guidelines and architecture principles

This role includes collaboration with Senior engineers on building out our Internal Developer Platform and utilizing given modules for infrastructure self-service with terraform

Key duties will include tasks related to designing, testing, and optimizing prompts for various Language Models (LLMs) to achieve high-quality, reliable outputs for specific business use cases

You will implement Retrieval-Augmented Generation (RAG) pipelines, including document chunking, embedding generation, and vector search strategies

The role  will assist in the evaluation and tracking of AI model performance, ensuring adherence to our AI evaluation and testing frameworks

You will be responsible for creating and training machine learning models and neural networks for tasks like computer vision, speech recognition, and data analysis

Creation and maintenance of document technical decisions, API endpoints, and system architectures clearly will be part of your responsibilities 

As a junior AI developer, you will actively participating in code reviews, bringing a fresh perspective and a willingness to learn from feedback

You will work alongside within data engineers, stakeholders, and project managers to identify business needs and drive AI solutions

This role involved cleaning and preparing large datasets to train and fine-tune models

You stay updated on cutting-edge AI technologies, tools, and industry trends to keep projects innovative

1+ years of experience - AI engineering, data science, or machine learning, ideally with data engineering expertise

Strong programming skills in Python and familiarity with software design patterns, object-oriented programming, and functional programming concepts

Understanding of version control (Git), CI/CD concepts, and RESTful API development (e.g., using FastAPI or Flask or plumber)

Foundational understanding of a typical GenAI stack (LLMs, Vector Databases, frameworks like LangChain)

Familiarity with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud

Experience deploying AI solutions using Docker and Kubernetes

Knowledge of database systems (SQL and NoSQL)

Familiarity with Data Engineering concepts (Data Lakes, ETL/ELT pipelines)

Solid knowledge and practical experience in no-code and automation tools like as Make, n8n and Airtable

Basic knowledge in ML frameworks and cloud-based AI platforms like Azure ML and Databricks

Experience with AI frameworks like TensorFlow, PyTorch, and tools for building AI systems

First-hand experience building a basic RAG application or deploying an open-source model locally

Knowledge of MLOps practices and CI/CD pipelines

Ability to collaborate effectively with clients, team members, and cross-functional teams

You are naturally inquisitive about the latest AI papers, open-source tools, and architectural paradigms. You don't just copy-paste solutions; you seek to understand the why

You understand that "AI prototypes" are easy, but "production-ready AI" is hard. You value writing tests (Pytest), handling edge cases, managing errors gracefully, and considering security implications (e.g., Prompt Injection)

Articulate with impeccable verbal and written communication skills in German (C1 level) and English (B2 level). Strong & discerning listener

Space to grow: Taking ownership in international projects while continuously expanding your skills

Mentorship and Onboarding: Structured introduction supported by dedicated mentor

Cutting-edge workspace: Work with the latest technology and modern equipment to drive innovative solutions

Long-term stability: A permanent employment in a family-oriented and people-focused company

Diverse & inclusive environment: Join a truly international environment and collaborate daily with teammates from over 15 different nationalities

Balance matters or work-life harmony: A work schedule designed  to promote well-being and productivity

Team culture & connection: Social events and structured team-building days held in Berlin and Hamburg 

Language courses: Learn, improve or practice your conversational skills on language platform Lingoda

Never stop learning: You’ll receive a dedicated budget to industry-leading platforms like Udemy and MasterClass to sharpen your technical expertise and leadership skills

…and many other Job perks (childcare subsidy, company pension scheme, job bike, etc…)