We are seeking a talented AI Research Engineer to join R&D team at Deutsche Telekom’s T-Labs. In this role, you will prototype and experiment with AI solutions around core telco technologies, driving innovation through rapid exploration and proof-of-concept development. You will be expected to generate scientific impact, contributing to industry standardisation, patents, and research papers, as well as support in practical implementations in Detusche Telekom Group.
If you are passionate about discovering new possibilities at the intersection of telecommunications and AI, and thrive in an environment that values curiosity, creativity, and technical depth, we want to hear from you.
responsibilities :
Prototype and experiment with generative AI, LLMs, and classical ML approaches to address telco-specific challenges.
Work on wide range of AI-based automation concepts and implementations.
Define architectures and protocols for agentic systems.
Investigate and implement inference and agentic workflows optimizations.
Design, develop and test AI solutions PoCs with telco infrastructure, services, and data.
Collaborate with telco domain experts to identify opportunities for AI-driven innovation and co-create experimental solutions.
Document findings, share insights, and contribute to the scientific and technical community within T-Labs. Contribute to scientific studies, publications, patents and T-Labs presence at relevant conferences.
requirements-expected :
Minimum 5 years in software engineering, data science or machine learning roles with strong AI focus
Extensive experience in working with LLMs (understanding advanced prompting techniques and context management, designing decision-making systems based on reasoning models).
Good overview of current landscape of frameworks supporting working with and designing LLM-based systems.
Experience in solving real-world problems with autonomous or semi-autonomous agents, including workflow optimization.
Solid foundation in traditional ML algorithms, statistics, and working with large datasets for data transformation and feature engineering.
Understanding neural networks design and training principles, techniques, and frameworks.
Proficient in Python for app development, understanding TypeScript.
Experienced with Docker, CI/CD, Git, IP networking, and familiar with cloud AI platforms.
Strong communication skills, ability to document and share technical findings in a form of presentations and technical papers.
offered :
Friendly and open work environment.
Competitive salary and additional benefits.
Strong development opportunities within T-Mobile/T-Hub.
Access to training platforms and modern technologies.
Possibilities of flexible hybrid work from anywhere in Poland.
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
