Junior AI Developer

reeeliance IM GmbH; Hamburg; Vor Ort; EUR 45.000 - 60.000; Vollzeit

Benefits dieser Stelle

Mentorship and onboarding

Cutting-edge workspace

Long-term stability

Language courses

Budget for learning platforms

Zusammenfassung

A tech company in Hamburg is looking for a Junior AI Developer to build and maintain Python-based backend services integrating LLMs and vector databases. You'll collaborate with senior engineers to deploy production-ready AI solutions, write clean code, and work on various AI-related tasks including RAG pipelines and machine learning model training. This role offers mentorship, long-term stability, and opportunities for growth in a diverse environment.

Qualifikationen

• 1+ years of experience in AI engineering, data science, or machine learning.
• Strong programming skills in Python.
• Understanding of RESTful API development.

Aufgaben

• Develop backend services for integrating LLMs and vector databases.
• Collaborate with senior engineers for production-ready AI solutions.
• Implement RAG pipelines and optimize prompts for LLMs.

Kenntnisse

Python programming

AI engineering

Data science

Machine learning

Collaboration

Version control (Git)

Cloud platforms awareness

Kubernetes

Ausbildung

Bachelor's degree or equivalent in relevant field

Tools

TensorFlow

PyTorch

Docker

FastAPI

Azure ML

Jobbeschreibung

About the role

In this role as a Junior AI Developer, you will build and maintain robust Python-based backend services that integrate LLMs, vector databases, and RAG pipelines into existing application landscapes. You will collaborate with senior engineers to deploy production‑ready AI solutions while ensuring code remains clean, secure, and well‑documented.

Your responsibilities

• 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
• Creationand 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

Our requirements

• 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 and English. Strong & discerning listener

What we offer

• 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…)