14 дней назад
AI Engineering Workflow Developer - T Cloud Public (REF5739F)
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Описание вакансии
Текст:
TL;DR
AI Engineering Workflow Developer - T Cloud Public (REF5739F) (Python/AI tooling): Building and maintaining AI-assisted engineering utilities for repository analysis, code summarization, CI/CD log parsing, documentation generation, and workflow integrations with an accent on Python automation, LLM tooling, and enterprise cloud platforms. Focus on testing coding models, validating AI-generated outputs, and creating reliable handover materials and repeatable software-development workflows.
Location: Budapest, Szeged, Pécs, or Debrecen, Hungary. Remote work is available only from within Hungary due to European taxation regulations.
Company
is a Deutsche Telekom Group subsidiary providing IT and telecommunications services to large customers in Germany and other European countries.
What you will do
- Build and maintain AI-assisted utilities for repository indexing, code summarization, dependency extraction, log parsing, and documentation generation.
- Configure AI development environments, test prompts, compare model outputs, and document repeatable software-development workflows.
- Create scripts and lightweight services integrating Git repositories, CI/CD logs, issue trackers, documentation stores, and internal model endpoints.
- Prepare codebase summaries, service notes, build observations, glossary entries, and structured handover evidence.
- Test approved open-source, open-weight, and Chinese coding models and document their capabilities, limitations, risks, and usage guidance.
- Review AI-generated outputs with senior engineers, correct inaccuracies, and improve workflow quality.
Requirements
- 2–4 years of experience in software engineering, DevOps automation, data engineering, AI tooling, or platform-adjacent development.
- Good Python skills and willingness to work with APIs, scripting, developer tooling, documentation, tests, and lightweight automation services.
- Basic understanding of Git, CI/CD, Linux, containers, cloud platforms, and software architecture documentation.
- Readiness to deepen knowledge of OpenStack and enterprise cloud platforms.
- Careful working style, strong documentation habits, curiosity, and the ability to escalate unclear findings instead of over-trusting AI-generated answers.
Nice to have
- Hands-on familiarity with AI coding assistants, prompt engineering, LLM APIs, local model experimentation, or RAG-style development.
- Experience with tools such as FastAPI, notebooks, LangChain, LlamaIndex, GitLab/GitHub APIs, Jenkins APIs, Docker, Kubernetes, Helm, and Markdown automation.
Culture & Benefits
- Full-time employment within a confidential enterprise environment.
- Collaboration with senior AI software engineering and platform specialists.
- Remote work is possible from Hungary, with work conducted across the company’s Hungarian sites in Budapest, Debrecen, Pécs, and Szeged.
- Focus on learning speed, quality discipline, structured communication, and reliable software handover practices.
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