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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 data analysis for corporate management 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 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 (C1 level) and English (B2 level). 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 We love data... reeeliance guides regulated enterprises in turning AI readiness into AI-embedded operations, redesigning the workflows where risk, compliance, and business decisions actually happen. We design, build, and govern the data foundations that make it possible, combining strategic advisory, data and AI engineering, and deep SAP expertise across Hamburg, Berlin, and Porto. We are looking for passionate people to join our growing team. JOIN US – and grab your opportunity! Please keep in mind that only short-listed candidates will be contacted. For any questions, please write to marija.sekularac@reeeliance.com or send a DM.
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In your interview, expect this: 'Walk me through the last time you had to debug something that took you more than an hour. What was it, what did you try first, and what would you do differently?' Hiring managers ask this to see if you think systematically or just try random fixes. Have a real example ready with specifics.