T Hub - AI Engineer (LLMs, Agents)

T Hub - AI Engineer (LLMs, Agents)
WHAT TASKS AWAIT YOU?
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.
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).
– No dress code - you can just be yourself here
– Medical, sport and life insurance packages at preferential terms
– Access to: Percipio, Coursera, Rodos learning platforms
– Access to our products and services at preferential terms
– Employment contract-based cooperation
– Know Talent - receive training or financial bonus for recommending new employees
A fair approach to all people who want to join T Hub means that:
– The recruitment process is transparent;
– Our recruitment decision is based solely on an assessment of your skills (your race, skin color, sexual orientation, gender identity, origin, disability, political view, appearance, or religion will not have any influence on he outcome of the process):
– Regardless of the outcome of the process, you will get detailed feedback.
Our screening meeting will last about 20-30 minutes. We will ask you about our areas of interest and will be happy to field any questions you may have.
There’s nothing for you to do at this stage — we’ll take care of everything. During this time we process all the information we've gathered during the screening process and dig deeper into your CV.
We will invite you to one or two project meetings to confirm that we have a ‘perfect match'. The meetings may last between 30 minutes and 90 minutes, during which time we will talk to you about mutual expectations and the vision for our collaboration. You will also most likely meet your future supervisor and your teammate during this time.
At this stage, we will have decided that you are the person we want to develop our projects with. We will then come back to you with an offer of collaboration, hoping for your "yes". If for some reason, we are unable to offer you a position in our team, you will certainly receive feedback from us explaining our decision.