Senior Gen AI/ML Engineer

Job Overview

We are looking for an experienced Senior AI/ML Engineer to join our Generative AI team. You will work on the design and implementation of cutting-edge AI systems-including Retrieval-Augmented Generation (RAG) pipelines, multimodal generative models (GPT, DALL·E, etc.), and their integration into high-load product environments and internal workflows. This role combines hands-on engineering with architectural thinking to scale Gen AI across the company.

What will you do?

• 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.

What are we looking for?

• 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.

What additional skills will help you stand out?

• 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.

Work mode

Hybrid/Remote (from anywhere within the European time zone)

Benefits

Benefits and perks are tailored to the local market and culture. Our benefits in Belgrade include:

• 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

Please submit your CV in English to ensure smooth processing and review.