T Hub - AI Engineer (LLMs, Agents)

Expected, Python, GCP, Linux, SQL, ETL

Operating system, Windows

Your responsibilities, AI Model Development & Integration, • Build and develop Agentic AI- / GenAI- based solutions., • Integrate AI models into production systems working closely with other engineering teams., • Optimize models for performance, scalability and cost-effectiveness., , Data Preparation & Analysis, • Prepare, explore and analyze data using Python., , Infrastructure & Platforms, • Work with an on-premises, Linux-based GPU computing platforms and cloud-based instances especially Google Cloud Platform., , Documentation, • Document technical approaches, model architectures and implementation details., , Communication & Collaboration, • Be a strong and transparent communicator able to work with customers to set goals, identify risks and prerequisites, report progress, present results and seek feedback., • Collaborate with data science, POs and IT teams to define requirements into implementation.

Experience:, • Minimum 5 years in software engineering or machine learning roles with strong AI focus, , Languages:, • English language proficiency B2 or above. German language skills would be beneficial but not essential, , Technical skills:, Programming & Development:, • Expert in Python programming with strong software engineering best practices, including clean code, code reviews, testing, and production-grade deployments., • Proficient in software design patterns and development methodologies applicable to AI/ML projects., • Experience with GitLab repositories, version control, and CI/CD pipelines., , Cloud & Infrastructure:, • Hands-on experience with Google Cloud Platform (GCP) services and managing cloud-based AI workloads., • Skilled in working with on-premises Linux-based GPU computing environments., • Familiarity with containerization and orchestration technologies (Docker, Kubernetes) is a plus., , Machine Learning & AI:, • Good understanding of supervised, unsupervised, and reinforcement learning algorithms and techniques., • Practical experience with neural networks, including CNNs, RNNs, Transformers, and their application in ML solutions. (Nice to Have), • Expertise in developing, deploying, and optimizing AI/ML models for performance, scalability, and cost-efficiency., , Generative & Agentic AI:, • Strong knowledge of Large Language Models (LLMs), Prompt Engineering, and Generative AI frameworks., • Experience with Agentic AI frameworks such as ADK for building multi-agent systems., • Ability to design and implement AI-driven decision-making and tool-using agents., , Data Engineering & Analytics:, • Competency in SQL, data preprocessing, feature engineering, and building ETL pipelines., • Skilled in exploratory data analysis (EDA), visualization, and result interpretation., • Experience with distributed computing frameworks for large-scale data processing., , Knowledge Graphs & Semantic Technologies (Nice to Have):, • Familiarity with Knowledge Graphs and graph databases such as Neo4j., • Basic understanding of data modeling, ontologies, and schema design principles.

What we offer, You can look forward to working in our Network Analytics Team in Group Technology consisting of artificial intelligence (AI) and Machine Learning (ML) experts developing advanced analytical solutions for the Deutsche Telekom Group., , Your daily work will be focused on analyzing data, developing automated tools using GenAI & ML models, and working on challenging use cases. You will work alongside software engineers and other AI engineers., , This role is for you if you enjoy working in an enriching international environment with opportunities to travel and grow., , This role requires the flexibility to travel abroad a minimum of three times per year to attend client meetings, conferences, or team off-sites (typically 3-4 days per trip).

Benefits, sharing the costs of sports activities, private medical care, sharing the costs of foreign language classes, sharing the costs of professional training & courses, life insurance, flexible working time, corporate products and services at discounted prices, integration events, mobile phone available for private use, no dress code, parking space for employees, extra social benefits, sharing the costs of tickets to the movies, theater, holiday funds, birthday celebration, sharing the costs of a streaming platform subscription, employee referral program, charity initiatives, extra leave, Benefit Platform

Recruitment stages, Let’s meet to better understand each other's expectations., Hiring Manager will receive your application after meeting., Technical meetings with the Hiring Manager and/or team., Time to decide!

T-Mobile, Working at T-Mobile’s T Hub will offer you an unique and highly rewarding experience on IT market. As a leader in the telecommunications industry, T-Mobile not only provides a platform to hone your technical skills but also empowers you to be a catalyst for innovation. You'll have the opportunity to work at the forefront of cutting-edge technologies, from 5G to IoT and AI, shaping the future of connectivity. Our commitment to fostering a diverse and inclusive workplace means you'll collaborate with a wide range of talented professionals, learning and growing together. T-Mobile encourages a culture of continuous learning and development, offering mentorship and support to help you thrive in your career.

This is how we work,