We are looking for a Senior AI Platform Engineer to build AI-powered automation for complex cloud engineering environments.
You will combine your platform engineering, software development and cloud expertise with modern Generative AI technologies to automate parts of the software development lifecycle (SDLC).
Your work will focus on building reusable AI-assisted workflows that help engineering teams understand large codebases, discover service dependencies, diagnose CI/CD failures, analyze cloud services and generate reliable technical documentation.
This is not a traditional data science or machine learning role. We are looking for an engineer who understands how modern software and cloud platforms work and can apply LLMs, RAG and AI agents to real engineering problems.
Analyzing large Git repositories and identifying service boundaries and dependenciesBuilding AI agents that interact with source code, Git platforms, CI/CD systems and engineering toolsDiagnosing build and deployment failures using source code, configuration and pipeline logsCreating RAG-based solutions for searching and understanding large codebases and technical documentationAutomating the generation of architecture and engineering documentationConnecting LLMs to engineering systems through APIs and tool callingBuilding controlled agentic workflows with validation, retries, confidence checks and human approval stepsEvaluating different LLMs and approaches for software engineering use casesTurning successful prototypes into reusable, maintainable and production-ready engineering solutionsYou will work closely with cloud, platform and software engineers within the T Cloud Public / Meridian engineering environment.
