AI Supervisor (Middle and above)

Game studio integrating neural networks for process automation seeks an AI Supervisor to lead AI direction, validate LLM outputs, and coordinate implementation.

– Responsible for the studio's AI direction: determine which processes to automate and how, prioritize, and bring solutions to real impact. – Oversee and control the work of AI assistants for various areas (game design, narrative, development, production). – Validate LLM results: assess answer quality, identify hallucinations, ensure relevance and alignment with tasks. – Build and maintain project wrapping processes: structure content and codebase, monitor effectiveness and relevance. – Coordinate automation of routine studio processes (microservices, n8n), check scenario correctness. – Oversee implementation of neural services for content generation (commercial APIs and open-weight models), evaluate quality and cost. – Test hypotheses, select and review prompts, conduct model response quality evaluations (evals). – Document decisions, maintain a knowledge base, share expertise within the team. – If necessary, mentor colleagues in using AI tools.

– 2+ years of commercial or production-level LLM experience. – Product experience: ability to independently formulate hypotheses, prioritize, and deliver AI features from idea to implementation with measurable results. – Leadership experience: ability to lead a direction or small team, make decisions, and own outcomes. – Experience with modern agentic development (from CLI agents to fully autonomous systems). – Strong understanding of modern model capabilities and limitations (context, hallucinations, cost, latency) and practical evaluation skills. – Ability to work with various APIs (OpenAI, Anthropic, local models via Ollama/vLLM). – Basic Python skills for integrations, automation, and solution verification. – Experience with prompt engineering and RAG solutions. – Skills in reviewing and assessing AI output quality, attention to detail. – Experience in game development or interest in game development is a plus. Nice to have: – Knowledge of LangChain / LangGraph. – Experience with open-weight models (LLM and media). – Understanding of MLOps fundamentals (deployment, monitoring). – Understanding of DevOps fundamentals. – Experience coordinating a small team or mentoring.

– Work on live game projects. – Opportunity to build AI and business processes from scratch – your decisions will be implemented immediately. – Flexible employment format (full-time). – Remote work. – Stable income 130,000–150,000 RUB after taxes and work time tracking.