Junior AI Developer

reeeliance; Hamburg; Vor Ort; EUR 45.000 - 65.000; Vollzeit

Benefits dieser Stelle

Mentorship and onboarding

Cutting-edge workspace

Language courses

Learning budget for platforms like Udemy

Zusammenfassung

A consultancy specializing in Data Management is looking for a Junior AI Developer in Hamburg. The role involves building Python-based backend services, collaborating with senior engineers, and maintaining high-quality code. Applicants should have at least 1 year of experience in AI engineering or data science, strong Python skills, and familiarity with Docker and Kubernetes. The position offers mentorship, a cutting-edge workspace, and a supportive team culture, designed for continuous learning and balancing work and life.

Qualifikationen

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

Aufgaben

• Develop robust backend services to integrate LLMs and databases.
• Write clean and maintainable code according to quality guidelines.
• Collaborate with senior engineers and project managers.

Kenntnisse

Python programming

Data engineering expertise

Collaboration

Version control (Git)

CI/CD concepts

RESTful API development

AI frameworks (TensorFlow)

Cloud platform familiarity

MLOps practices

Communication skills

Ausbildung

1+ years of experience in AI engineering or data science

Tools

Docker

Kubernetes

SQL Database Systems

NoSQL Database Systems

ML frameworks (PyTorch)

Jobbeschreibung

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.

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
• 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

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…)

About Us

Envisioning advanced data architectures and bringing them to live is our passion.

reeeliance is a consultancy specializing in Data Management, Fast Data, Advanced Analytics, and DataOps and AI Readiness. We further support our clients in modernizing their SAP landscape and moving their business to the cloud. Our IT consulting company is powered by a team of around 50+ IT consultants, engineers, who love what we do and work together to make an impact.

Based in Hamburg, Berlin, and Porto, we combine strategic foresight with sound data and software engineering craftsmanship to define, build, and operate scalable information ecosystems for our international clients, helping them transform into real data-driven enterprises.