Facilitate live online AI Labs sessions for QA and AI-assisted programming courses. Review participant projects, scope deliverables, guide AI workflow architecture and configuration, debug agent behavior, establish automation boundaries and human-in-the-loop controls, and help participants produce working results. The role requires production experience with LLM APIs, LangGraph, LangSmith, CI platforms, Playwright, AI code review, multi-agent systems, and strong technical facilitation skills in Russian.
Description
Nebius Academy (powered by TripleTen) runs AI Labs: three-hour live online sessions where engineers bring a real repository, pipeline or test suite and leave with a working AI deliverable configured against their own code and standards.
We are looking for an AI Labs Teaching Expert to facilitate the Tech Track across our QA and AI-assisted programming courses. You will guide participants through real technical projects, help them make sound architecture and scoping decisions, and support them in producing a working result during the session.
What you will do- Review participant project cards before each session and prepare the relevant materials.
- Assess the scope of each project and help participants define what can realistically be completed during the Lab.
- Work alongside participants as they design, configure and test their AI-assisted development workflows.
- Read unfamiliar repositories quickly enough to identify issues and provide actionable guidance.
- Help participants debug agent state, routing and behaviour under time pressure.
- Guide participants in configuring AI code review, repository-level instructions and agent governance.
- Help participants define appropriate automation boundaries, retry limits and human-in-the-loop controls.
- Run an engaging online session, move effectively between participant projects and keep the whole group progressing.
Must Have
- Production experience integrating AI tooling into a real team’s repository, engineering workflow or CI pipeline.
- Experience running an LLM API in a production CI environment, including cost, latency, retry and failure-mode considerations.
- Hands-on experience with AI code review, repository-level configuration, agent instructions or AI governance files used by a team.
- Strong software engineering background and the ability to understand backend, frontend, ETL, testing and model-related components.
- Experience defining automation boundaries, human-in-the-loop gates and safe retry behaviour.
- Ability to diagnose whether an agent failure comes from the prompt, routing or state design.
- Experience stress-testing AI systems using intentionally incorrect inputs, pull requests or edge cases.
- Daily practical use of a coding agent such as Claude Code, Cursor or Codex.
- Hands-on experience with CI platforms; strong familiarity with GitHub Actions or a comparable platform.
- Practical experience with Playwright.
- Production experience with LangGraph and LangSmith.
- Experience building or operating multi-agent systems with tracing and evaluation.
- Strong live facilitation, coaching or technical knowledge-sharing skills.
- Ability to facilitate the current Labs in Russian.
- Availability to support the mid-October launch and the planned October–November delivery schedule.
Nice to Have
- Experience leading an organisation-wide rollout of AI coding tools.
- Experience as a Staff or Senior Software Engineer, AI Platform Engineer, QA Automation Architect, SDET Lead, Applied AI Engineer or Forward-Deployed Engineer.
- Experience with automated or self-healing test suites.
- Experience teaching or facilitating engineers in a live online environment.
- Experience working with unfamiliar repositories and technology stacks.
- Experience with QA-oriented AI use cases.
- A project-based, part-time collaboration with Nebius Academy.
- The opportunity to work with experienced professionals on real AI-assisted engineering projects.
- A practical delivery format focused on working results rather than theoretical demonstrations.
- A fully remote collaboration with sessions aligned with CET.
- A clear delivery scope for each Lab, including preparation and coordination with the Nebius Academy team.
- An opportunity to influence how engineering teams use AI tools safely and effectively in their daily work.
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