T Hub - AI Engineer (LLMs, Agents)
T-Mobile Polska
This role is for an AI Engineer building production-grade GenAI and agent-based solutions for Deutsche Telekom's network analytics. You will design, develop, and deploy AI agents and LLM-based tools, working closely with software engineers and data scientists. You will handle full lifecycle from data analysis to deployment on cloud (GCP) and on-prem GPU clusters. The role requires some international travel (min 3 trips/year) for client meetings or team off-sites.
Brak jawnych widełek — wynagrodzenie do ustalenia podczas rekrutacji.
Brakuje: team size and composition, details of existing infrastructure (e.g., data pipelines, monitoring).
This role is for an AI Engineer building production-grade GenAI and agent-based solutions for Deutsche Telekom's network analytics. You will design, develop, and deploy AI agents and LLM-based tools, working closely with software engineers and data scientists. You will handle full lifecycle from data analysis to deployment on cloud (GCP) and on-prem GPU clusters. The role requires some international travel (min 3 trips/year) for client meetings or team off-sites.
- ✓Working on cutting-edge GenAI/Agentic AI for a major telecom group
- ✓International team with exposure to Deutsche Telekom
- ✓Access to training platforms and additional day off for birthday
- ✓Benefit platform with choice of perks
- !Mandatory travel abroad at least 3 times per year (3-4 days each) may be a burden for some
- !Large corporation (Deutsche Telekom) may involve bureaucracy
- !Recruitment process not fully detailed beyond initial meeting and technical interviews
- ?Brak jawnych widełek — wynagrodzenie do ustalenia podczas rekrutacji
- •Building and developing Agentic AI / GenAI-based solutions (e.g., using ADK framework)
- •Integrating AI models into production systems with other engineering teams
- •Optimizing models for performance, scalability, and cost-effectiveness
- •Exploring and preparing data using Python (ETL, feature engineering)
- •Working with on-premises Linux GPU computing platforms and Google Cloud Platform
- •Documenting model architectures, technical approaches, and implementation details
- •Collaborating with data scientists, product owners, and IT teams to define requirements
- •Communicating with customers to set goals, identify risks, and report progress
Oferta skierowana do developerów z doświadczeniem komercyjnym (Mid).
A candidate with about 5 years of experience in AI/ML engineering, proficient in Python, with practical knowledge of LLMs and agentic concepts, able to work with GCP and on-prem GPU, and willing to travel occasionally.
Junior developers with less than 5 years of experience, people unwilling to travel abroad at least 3 times per year, or those who prefer pure research without production engineering responsibilities.
- ?How many AI engineers are currently on the team?
- ?What is the legacy of the existing codebase? Are there existing agentic frameworks in production?
- ?How often are models retrained and what is the deployment frequency?
- ?Is there an on-call rotation or after-hours support expected?
- ?What specific distributed computing frameworks (e.g., Spark, Flink) are used?
- ?What is the travel budget and policy (flights, accommodation)?
- ?Is there support for attending conferences or publishing research?
- ?How is knowledge sharing structured within the international team?
- −Team size and composition
- −Details of existing infrastructure (e.g., data pipelines, monitoring)
- −Specific distributed computing frameworks used
- −On-call responsibilities
- −Career progression and promotion criteria
- −Budget for conferences or external training
International, collaborative team with a focus on GenAI and agentic AI, working closely with data science, product owners, and IT teams. Opportunities for travel and growth in an enriching environment.
Initial meeting to align expectations, then technical meeting(s) with the Hiring Manager and/or team, followed by decision.