AI Engineering Workflow Developer for T Cloud Public (m/f/d)

Posted One Month Ago
Be an Early Applicant
Košice, SVK
Hybrid
1K-1K Annually
Junior
Information Technology
The Role
Support senior engineers by building, testing, and maintaining AI-assisted workflows and utilities for repository indexing, code summarization, dependency extraction, log parsing, and documentation generation. Create scripts and lightweight services to integrate repositories, CI/CD logs, issue trackers, and internal model endpoints. Test and document coding models and AI tooling, prepare structured handover materials, and participate in reviews to validate and improve AI-generated outputs.
Summary Generated by Built In
Company Description

Our brand Deutsche Telekom IT Solutions Slovakia entered the life of Košice region in 2006 under the name of T-Systems Slovakia and ever since has been inextricably linked with the region when became one of the founding members of Košice IT Valley. We have managed to grow from scratch to the second largest employer in the eastern part of the country with more than 3900 employees. Our goal is to proactively find new ways to improve and continuously transform into the type of company providing innovative information and communication technology services.

Job Description

Mission
Support Meridian engineering teams by building, testing, and maintaining AI-assisted development workflows that accelerate code understanding, documentation, build triage, and handover preparation for cloud software and platform work packages.

Role focus
This more junior position supports senior AI SWE and platform specialists by implementing workflow utilities, prompt packs, repository analysis scripts, documentation helpers, and integration adapters. The candidate should be eager to learn enterprise cloud platforms, AI development tooling, and disciplined software handover practices.

 

Key responsibilities

  • Implement and maintain small AI-assisted engineering utilities for repository indexing, code summarization, dependency extraction, log parsing, and documentation generation.
  • Support senior engineers in configuring AI development environments, testing prompts, comparing model outputs, and documenting repeatable SDLC usage patterns.
  • Create scripts and lightweight services that connect Git repositories, CI/CD logs, issue trackers, documentation stores, and internal model endpoints.
  • Help prepare handover materials including codebase summaries, service notes, build observations, glossary entries, and structured evidence templates.
  • Test open-source, open-weight, and Chinese coding models in approved environments and document strengths, limitations, risks, and practical usage guidance.
  • Participate in reviews with senior engineers to validate AI-generated outputs, correct inaccuracies, and improve workflow quality over time.

Examples of market tools, models, and SDLC platforms expected

  • AI development environments such as Cursor, Windsurf, Continue, Cline, Aider, Claude Code, or VS Code-based extensions configured for enterprise repositories.
  • Model families used for coding support such as DeepSeek Coder, Qwen/Qwen-Coder, CodeGeeX, StarCoder, Code Llama, Mistral, or other internally approved models.
  • Workflow and integration tooling such as Python, FastAPI, notebooks, LangChain, LlamaIndex, GitLab/GitHub APIs, Jenkins APIs, Markdown, and documentation automation.
  • Supporting engineering tools such as Git, Docker, Kubernetes basics, Helm basics, Linux shells, package managers, log processing, and structured prompt repositories.

Qualifications

YOU WILL SUCCEED IF YOU HAVE:

  • 2-4 years in software engineering, DevOps automation, data engineering, AI tooling, or platform-adjacent development roles.
  • Good Python skills and willingness to work across APIs, scripting, developer tooling, documentation, tests, and lightweight automation services.
  • Hands-on familiarity with AI coding assistants, prompt engineering, LLM APIs, local model experimentation, or RAG-style development is strongly preferred.
  • Basic understanding of Git, CI/CD, Linux, containers, cloud platforms, and software architecture documentation, with readiness to deepen OpenStack knowledge.
  • Careful working style with good documentation habits, curiosity, and ability to escalate unclear findings instead of over-trusting AI-generated answers.
  • Comfortable working in a confidential enterprise environment where learning speed, quality discipline, and structured communication are important.

Additional Information

WHY SHOULD YOU CHOOSE US?

We believe in balance between work and personal life. An attractive and extensive work-life balance portfolio guarantees lasting motivation for employees and thus a better quality of life, promotes physical and mental well-being and contributes to a positive work environment. All this with the aim of providing more freedom in reconciling work, career growth, private life and individual lifestyle. Therefore we offer to our employees over 25 different benefits to improve their personal and professional life in these areas:

  • Financial benefits
  • Benefits with focus on learning and development
  • Benefits with focus on health and sport
  • Benefits with focus on family and work – life balance
  • Other benefits

For more information about our benefits click to Benefits

Salary

Final salary is negotiable.

We are offering base salary depending on seniority level and previous experience of candidate. In addition to base salary we provide variable part and other financial benefits. Base salary will not be lower than 1150 € /brutto.

Additional information

* Please be informed that our remote working possibility is only available within Slovakia due to European taxation regulation.

Skills Required

  • 2-4 years in software engineering, DevOps automation, data engineering, AI tooling, or platform-adjacent development roles.
  • Proficient Python skills; experience with APIs, scripting, developer tooling, documentation, tests, and lightweight automation services.
  • Hands-on 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; readiness to deepen OpenStack knowledge.
  • Ability to create scripts and lightweight services connecting Git repositories, CI/CD logs, issue trackers, documentation stores, and internal model endpoints.
  • Careful working style with good documentation habits; ability to validate AI outputs and escalate unclear findings.
  • Comfortable working in a confidential enterprise environment with structured communication and a fast learning pace.
  • Familiarity with AI development tooling and supporting tools (FastAPI, LangChain, LlamaIndex, Docker, Kubernetes, Helm, GitLab/GitHub, Jenkins).
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The Company
HQ: Bonn
2,383 Employees
Year Founded: 2006

What We Do

Deutsche Telekom IT Solutions Slovakia is a dynamically developing company providing its services in the ICT sector. Within the Deutsche Telekom group, Deutsche Telekom IT Solutions offers services as an outsourcer, specializing in corporate clientele in Germany, in the European Union and further across the globe. Thanks to its size, scope of operation and service quality, Deutsche Telekom IT Solutions Slovakia makes a sound contribution to the Deutsche Telekom brand being number one on the German market and ranked amongst the top four ICT service providers in Europe. And we can guarantee that our jobs are as exciting and varied as our business! Deutsche Telekom IT Solutions Slovakia considers its people to be the most important asset and competitive advantage - our employees are highly educated, reliable, ambitious, and flexible. Job Opportunities - Join Us! Find a fulfilling job with opportunities for personal and professional growth. Whether you are a graduate, a professional or an executive - let's work together to drive digitization forward! Challenge yourself with exciting projects, and enjoy our attractive salaries and benefits. We are hiring! You can find your perfect entry route at https://telekom.jobs/careers-sk-en Privacy Policy - https://rec.telekom.com/content/Data-Protection/?locale=sk_SK

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