AI Software Engineer
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In this role you will architect and deliver reusable AI-assisted workflows for SDLC automation, aligning with cross-functional teams to accelerate analysis, decomposition, and documentation. You will integrate AI pipelines with Git, CI/CD, and documentation tools, ensuring outputs are auditable with traceability and explicit assumptions. You will explore diverse models and open ecosystems to compare usefulness for handover tasks, guiding work-package leads in translating ambiguous questions into concrete AI-enabled deliverables. This position offers impact through scalable workflow accelerators and transparent governance within a modern engineering environment.
Compensaciones / Beneficios
• 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 catalogs, and architecture evidence repositories
• Create workflow outputs that remain auditable, with traceable source references, confidence indicators, reviewer checkpoints, and explicit assumptions
• Experiment with open-source, open-weight, and Chinese coding models in approved environments to compare usefulness for SDLC automation and handover tasks
• Support work-package leads by translating ambiguous engineering questions into structured AI-assisted workflows and validated deliverables
• Refer to market tools and SDLC platforms such as LangGraph, AutoGen, CrewAI, OpenAI Agents SDK, LlamaIndexWorkflows, Semantic Kernel or comparable xghoner orchestration stacks
• Leverage AI development platforms and editor integrations like Cursor, Windsurf, Claude Code, Continue, Cline, Aider, or VS Code-compatible assistants
• Consider model families relevant to SDLC automation such as DeepSeek Coder, Qwen/Qwen-Coder, CodeGeeX, StarCoder, Code Llama, Mistral, or enterprise frontier models
• Incorporate supporting components including vector databases, graph stores, code indexing, OpenAPI wrappers, GitLab/GitHub APIs, Jenkins APIs, observability, and evaluation dashboards
Responsabilidades
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Requisitos principales
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