Senior Gen AI/ML Engineer

Summary

Join our Generative AI team as a Senior AI/ML Engineer to design and implement cutting-edge AI systems, including RAG pipelines and multimodal generative models. You will integrate these models into high-load product environments and internal workflows, collaborating with cross-functional teams. This role blends hands-on engineering with architectural thinking to scale Gen AI across the company. You will build scalable ML pipelines and evaluate Gen AI models for performance and scalability. Ensure robust architecture and security practices while contributing to tooling and platform selection. Document and evolve best practices in Gen AI architecture.

Requirements

• 5+ years of experience in Machine Learning, including deployment of production-grade AI solutions
• Expertise in NLP, Transformers, and modern deep learning architectures (RAG, BERT, T5, diffusion models, etc.)
• Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, HuggingFace, LangChain, etc.)
• Hands-on experience with vector databases (FAISS, Qdrant, Weaviate) and semantic search architectures
• Proficient with DevOps/MLOps practices and tools: Docker, Kubernetes, CI/CD, monitoring, logging
• Experience with cloud platforms (AWS, GCP, Azure) and their AI/ML service stacks
• Strong architectural thinking with a focus on scalability, performance, and cross-system integration
• English language proficiency at B2 or higher

Responsibilities

• Design and implement RAG systems with hybrid retrieval (dense/sparse), embeddings, and orchestrated prompt pipelines
• Architect and deploy LLM-based solutions using open-source and proprietary models (LLaMA, Mistral, GPT-4, Claude)
• Build scalable ML pipelines for batch and real-time inference, retraining, evaluation, and observability
• Integrate Gen AI models (text, image, multimodal) into core business processes and customer-facing products
• Collaborate with cross-functional teams-product, engineering, data science, and ops-to deliver AI-powered features
• Evaluate Gen AI models for performance, cost, scalability, and alignment with company use cases
• Ensure robust architecture and security practices in deploying AI solutions within existing IT ecosystems
• Contribute to tooling and platform selection for model deployment, inference orchestration, and data flow automation
• Document and evolve best practices in Gen AI architecture across the organization

Preferred Qualifications

• Experience deploying multimodal models (e.g. DALL·E, Stable Diffusion, Whisper)
• Familiarity with Gen AI use cases in games, content creation, and enterprise automation
• Knowledge of ethical AI practices and governance
• Background in leading small teams or coordinating AI projects end-to-end

Benefits

• Annual leave of 20 working days (additional days based on years of service at Wargaming: up to 25 days)
• Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave)
• Sick Leave Compensation, Maternity Leave Benefits
• Premium Private Health Insurance
• Career development and education opportunities within the company
• English clubs and platform for learning languages
• Mental well-being program (iFeel)
• Commuting allowance
• Company events
• FitPass membership
• Discounts for employees
• Personal Gaming Account
• Coffee, fruits, and snacks in the office
• On-site canteen with subsidized prices for food and drinks
• Seniority Awards
• Referral program - you can recommend the best talents to the Company and receive a reward