обновлено 3 дня назад
AI Engineer (LLMs, Agents)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer (LLMs, Agents) (GenAI/Agentic AI): Building and integrating production AI solutions based on large language models, generative AI, and multi-agent systems with an accent on model optimization, data analysis, and cloud/GPU infrastructure. Focus on designing tool-using agents, deploying scalable ML workloads on GCP and Linux GPU platforms, and developing reliable data pipelines.
Location: Warsaw, Poland; hybrid work model with flexibility to travel abroad at least three times per year for client meetings, conferences, or team off-sites.
Company
's Network Analytics Team in Group Technology develops AI and machine learning solutions for the Deutsche Telekom Group.
What you will do
- Build and develop agentic AI and generative AI solutions.
- Integrate AI models into production systems and optimize them for performance, scalability, and cost-efficiency.
- Prepare, explore, and analyze data using Python, including preprocessing, feature engineering, and exploratory data analysis.
- Work with on-premises Linux-based GPU platforms and cloud-based AI workloads, especially on Google Cloud Platform.
- Design and implement AI-driven decision-making and tool-using agents using large language models and agentic AI frameworks.
- Collaborate with data scientists, product owners, IT teams, software engineers, and customers to define requirements, manage risks, report progress, and present results.
Requirements
- At least 5 years of experience in software engineering or machine learning roles with a strong AI focus.
- English proficiency at B2 level or above.
- Expert Python programming skills and strong software engineering practices, including clean code, code reviews, testing, version control, CI/CD, and production deployments.
- Experience with GCP, Linux-based GPU computing environments, AI/ML model development, deployment, and optimization.
- Strong knowledge of LLMs, prompt engineering, generative AI frameworks, and agentic AI frameworks such as ADK.
- Competence in SQL, ETL pipelines, distributed data processing, data visualization, and result interpretation.
Nice to have
- Experience with Docker and Kubernetes.
- Practical experience with CNNs, RNNs, Transformers, and neural-network-based ML solutions.
- Familiarity with knowledge graphs, Neo4j, data modeling, ontologies, and schema design.
- German language skills.
Culture & Benefits
- Work in an international Network Analytics Team alongside software engineers and AI specialists.
- Develop advanced analytical solutions and automated tools for challenging business use cases.
- Opportunities to travel abroad for client meetings, conferences, and team off-sites.
- Opportunities for professional growth in an international environment.
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