Junior AI Engineer – Agentic SDLC Workflows for T Cloud Public (m/f/d)
Core
Industrialize AI-assisted engineering workflows for codebase intake, dependency extraction, build triage, documentation generation, and technical evidence creation across cloud software work packages.
Role type
Senior IC platform engineering engineer (AI/ML workflows)
Builds
Reusable AI-assisted workflows for repository analysis, code scanning, service decomposition, dependency discovery, build diagnosis, and documentation generation.
Domain
Cloud software engineering, DevOps, MLOps, AI infrastructure
Deliverable
production ML models | product features
Required skills
Python, Kubernetes, Linux, Terraform, Ansible, Helm, GitOps, API integration, orchestration frameworks, RAG patterns, tool calling, evaluation loops, CI/CD, software architecture documentation
Preferred skills
Experience with open-source/open-weight/Chinese coding models, private/on-prem LLM deployments, high-security environment operations, sovereignty-driven environments
Technologies
LangGraph, AutoGen, CrewAI, OpenAI Agents SDK, LlamaIndex Workflows, Semantic Kernel, Cursor, Windsurf, Claude Code, Continue, Cline, Aider, DeepSeek Coder, Qwen, CodeGeeX, StarCoder, Code Llama, Mistral, vector databases, graph stores, code indexing, OpenAPI wrappers, GitLab/GitHub APIs, Jenkins APIs
Responsibilities
Build reusable AI-assisted workflows for repository analysis and build diagnosis; Package prompts, tools, retrieval layers, and model routing into repeatable engineering accelerators; Integrate AI workflows with Git platforms, CI/CD systems, and documentation stores; Create auditable workflow outputs with traceable source references and confidence indicators; Experiment with coding models to compare usefulness for SDLC automation; Support work-package leads by translating ambiguous engineering questions into structured AI-assisted workflows.
Seniority
Senior, hands-on IC
