T Hub – AI Expert; RAG & Prem LLMs

Location: Warszawa, ul. Marynarska 12 Form of Employment: CoE

T Hub is a dynamic, forward‑thinking initiative where technology truly matters. We serve as the core of innovation within our organization – a place where top talents converge to ideate, prototype, and implement cutting‑edge solutions in international projects across the Deutsche Telekom Group.

Have you ever wondered whether you’d rather work in big‑tech or a startup‑like environment? Remotely or from the office? In telco or pure IT? In international teams or local ones? At T Hub, the answer is always one – YES.

What’s next? Find yourself a super position → Apply → Talk with us → Find yourself in a superposition!

• architect, implement, and optimize end‑to‑end Retrieval Augmented Generation (RAG) pipelines for enterprise use cases in on‑premises environments
• design and integrate retrieval mechanisms (e.g. vector databases such as Neo4j) with generative models (e.g. LLAMA 3.2, Mistral)
• fine‑tune and optimize retrieval and generation components to achieve high accuracy and low latency
• implement and customize inference servers using vLLM and LiteLLM for efficient and scalable LLM serving
• integrate open‑source large language models with proprietary data sources and enterprise APIs
• design GPU‑optimized, scalable on‑prem infrastructure for model training and inference, ensuring security and data governance compliance
• collaborate with Dev Ops teams to containerize workflows using Docker and Kubernetes and automate MLOps pipelines
• apply performance optimization techniques such as quantization, pruning, and dynamic batching
• monitor system performance, troubleshoot bottlenecks, and ensure high availability
• work closely with data engineers and business stakeholders to translate business requirements into technical AI solutions in telco environments

• Bachelor’s, Master’s, or PhD degree in Computer Science, Artificial Intelligence, or a related field
• at least 3 years of professional experience in ML/NLP roles, including 2+ years working with RAG systems
• proven experience deploying and operating LLM‑based solutions in on‑prem or hybrid environments
• hands‑on experience with vLLM, LiteLLM, and open‑source LLMs such as LLAMA 3.2, Deep Seek, or Mistral
• strong Python skills and experience with frameworks such as PyTorch, Hugging Face Transformers, and Lang Chain
• experience with vector databases (e.g. Neo4j)
• familiarity with Linux‑based systems and Red Hat Open Shift
• strong problem‑solving and analytical skills
• ability to clearly communicate complex AI concepts to non‑technical stakeholders

• stable employment based on an employment contract
• private medical care and life insurance
• access to professional training platforms such as Percipio, Coursera, and Rodos
• flexible benefits platform – you choose what suits you best
• additional day off for your birthday or name day
• free parking space

Working at T‑Mobile’s T Hub offers a unique and highly rewarding experience on the IT market. As a leader in the telecommunications industry, T‑Mobile empowers you to be a catalyst for innovation while working on advanced AI solutions shaping the future of connectivity.

You will operate at the intersection of AI, large language models, and telco‑scale data, contributing to high‑impact, enterprise‑grade projects. We foster a diverse and inclusive culture where continuous learning, collaboration, and professional growth are core values.

No dress code – you can just be yourself here.

Medical, sport and life insurance packages at preferential terms.

Access to our products and services at preferential terms.

Employment contract‑based cooperation.

Know Talent – receive training or financial bonus for recommending new employees.

• 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 the outcome of the process).
• Regardless of the outcome of the process, you will get detailed feedback.