T Hub - AI Engineer (LLMs, Agents)

Our requirements

• Minimum 5 years in software engineering or machine learning roles with strong AI focus
• English language proficiency B2 or above. German language skills would be beneficial but not essential
• 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.
• 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.
• 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.
• 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.
• 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.

Your responsibilities

• 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.
• 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.
• Document technical approaches, model architectures and implementation details.
• 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.

About the project

This is how we organize our work

What we offer

• Employment contract
• Additional day off on the occasion of birthdays/namedays
• Medical package and life insurance
• Benefit platform - you choose what you benefit from
• Access to training platforms to improve your knowledge
• I know Talent - training or money for referring friends to work 😊!
• Besides, with us you can count on access to our products and services at preferential terms and benefits, which you will read about below

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

• 1.
  Let’s meet to better understand each other's expectations.
• 2.
  Hiring Manager will receive your application after meeting.
• 3.
  Technical meetings with the Hiring Manager and/or team.
• 4.
  Time to decide!

T-Mobile