AI SWE / Agentic SDLC Workflow Engineer for T Cloud Public (m/f/d)

21 days ago

Košice, SlovakiaSenior

Responsibilities

Build reusable AI-assisted workflows for repository analysis, code scanning, service decomposition, dependency discovery, build diagnosis, and documentation generation.
Package prompts, tools, retrieval layers, model routing, evaluation checks, retries, and human approval steps into repeatable engineering accelerators.
Integrate AI workflows with Git platforms, CI/CD systems, documentation stores, issue trackers, test outputs, service catalogues, and architecture evidence repositories.
Create auditable outputs with traceable source references, confidence indicators, reviewer checkpoints, and explicit assumptions.
Experiment with open-source, open-weight, and Chinese coding models in approved environments for SDLC automation and handover tasks.
Translate ambiguous engineering questions into structured AI-assisted workflows and validated deliverables for work-package leads.

At least 5 years of experience across platform engineering, DevOps automation, SRE, MLOps, software development, or AI workflow implementation.
Strong hands-on Python skills and experience with API integration, orchestration frameworks, retrieval patterns, tool calling, and evaluation loops.
Proven experience with AI infrastructure, model serving, private or on-premises deployments, and production operations for LLM-based workloads.
Practical experience with Terraform, Ansible, Helm, Kubernetes, Linux, containers, Git workflows, and CI/CD.
Understanding of networking, storage, access control, monitoring, operational hardening, software architecture documentation, and modular cloud software environments.
Experience converting prototypes into reusable workflows with clear interfaces, logging, error handling, configuration, and maintainability.
Strong written communication skills for workflow documentation, evidence packs, usage guidance, and senior-stakeholder decision support.
Ability to work in ambiguous, confidentiality-sensitive, sovereignty-driven environments requiring auditability, isolation, controlled data handling, and review of AI outputs.

More than 25 benefits covering financial support, learning and development, health and sport, family support, work-life balance, and other areas.
Base salary is negotiable by seniority and experience and will not be lower than €2100 gross, with variable compensation and other financial benefits.
Remote work is available only within Slovakia due to European taxation regulations.

1,001-5,000 employees