3 дня назад
AI Engineering Workflow Developer - T Cloud Public (REF5739F)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
AI Engineering Workflow Developer - T Cloud Public (AI): Building AI-assisted engineering utilities and lightweight integrations for repository analysis, code summarization, CI/CD log processing, and documentation generation with an accent on Python automation, LLM tooling, and enterprise cloud workflows. Focus on testing coding models, validating AI-generated outputs, and preparing structured software handover materials.
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 software handover materials.
- Test approved open-source, open-weight, and Chinese coding models, documenting their strengths, limitations, risks, and practical usage.
- 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.
- Familiarity with AI coding assistants, prompt engineering, LLM APIs, local model experimentation, or RAG-style development.
- Basic understanding of Git, CI/CD, Linux, containers, cloud platforms, and software architecture documentation, with readiness to deepen OpenStack knowledge.
- Careful working style, strong documentation habits, curiosity, and the ability to escalate unclear findings instead of over-trusting AI-generated answers.
- Ability to work remotely from within Hungary.
Nice to have
- Experience with Cursor, Windsurf, Continue, Cline, Aider, Claude Code, or VS Code-based AI extensions.
- Experience with coding models such as DeepSeek Coder, Qwen-Coder, CodeGeeX, StarCoder, Code Llama, or Mistral.
- Experience with FastAPI, notebooks, LangChain, LlamaIndex, GitLab/GitHub APIs, Jenkins APIs, Markdown, and documentation automation.
- Basic familiarity with Docker, Kubernetes, Helm, Linux shells, package managers, log processing, and structured prompt repositories.
Culture & Benefits
- Work in a confidential enterprise environment focused on quality discipline and structured communication.
- Collaborate with senior AI software engineering and platform specialists.
- Develop skills in enterprise cloud platforms, AI development tooling, and disciplined software handover practices.
- Remote work is supported within Hungary.
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