AI SWE
Core
Build reusable AI-assisted workflows for repository analysis, code scanning, service decomposition, dependency discovery, build diagnosis, and documentation generation.
Role type
Senior IC AI Software Engineer (DevOps/Platform)
Builds
Repeatable engineering accelerators integrating AI workflows with Git, CI/CD, and architecture repositories
Domain
Software Development, DevOps Automation, AI Workflow Implementation
Deliverable
production ML models
Required skills
Python, API integration, orchestration frameworks, RAG patterns, tool calling, evaluation loops, CI/CD, Git, containers, Kubernetes, software architecture documentation
Preferred skills
agentic workflow frameworks, AI coding tools, coding models, vector databases, graph stores, code indexing, APIs, observability, evaluation dashboards
Responsibilities
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 workflow outputs with traceable source references, confidence indicators, reviewer checkpoints, and explicit assumptions; Experiment with open-source, open-weight, and Chinese coding models to compare their usefulness for SDLC automation and handover tasks; Translate ambiguous engineering questions into structured AI-assisted workflows and validated deliverables for work-package leads
Seniority
Senior, hands-on IC
