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, combining hands-on engineering with architectural thinking. This role involves collaborating with cross-functional teams to deliver AI-powered features, evaluating model performance, ensuring robust architecture and security, and contributing to tooling and platform selection. You will also document and evolve best practices in Gen AI architecture. The position offers a hybrid/remote work mode from anywhere within the European time zone.

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

• 5 weeks of Annual Leave per calendar year
• Additional paid time off
• Career development and education opportunities within the company
• Home internet reimbursement
• Gym membership through Urban Sports Club - Package M
• Mental well-being program (iFeel)
• Monthly public transportation ticket
• Language classes
• Company pension scheme with a company contribution up to 150 EUR per month
• Personal Gaming Account
• Coffee, fruits, and snacks in the office
• Company events
• Seniority Awards
• Referral program - You can recommend the best talents to the company and receive a reward