T Hub - AI Engineer (LLMs, Agents)

Magentateam; Warszawa; On-site; PLN 100,000 - 130,000; Full time

Benefits offered by this job

Medical insurance

Sport insurance

Life insurance

Training bonuses

Job summary

Magentateam in Warsaw is seeking an experienced AI Engineer to develop and optimize AI-driven solutions for our Network Analytics Team. You will collaborate with top-notch software engineers, working on challenging use cases in an international environment.

This role offers opportunities for growth, travel, and an engaging work culture with no dress code. Additionally, you will receive attractive benefits including medical insurance and preferential access to company products.

Qualifications

• Minimum 5 years in software engineering or machine learning roles with strong AI focus.
• Expert in Python programming with strong software engineering best practices.
• Good understanding of supervised, unsupervised, and reinforcement learning algorithms.

Responsibilities

• Build and develop Agentic AI- / GenAI- based solutions.
• Integrate AI models into production systems.
• Document technical approaches and model architectures.

Skills

Python programming

Machine Learning

AI model optimization

GitLab and CI/CD

Cloud Computing

Data preprocessing

Education

5+ years in software engineering or machine learning

Tools

Google Cloud Platform

Docker

Kubernetes

Job description

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.

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.
• 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.

WHAT SKILLS WILL BE APPRECIATED?

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.
• 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.

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.
• 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.

OUR OFFER FOR YOU

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 our products and services at preferential terms

Employment contract-based cooperation

Know Talent - receive training or financial bonus for recommending new employees

Equal Opportunity Statement

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).