AI Engineer / Researcher

Tasks • Analyze business problems and select suitable ML/LLM approaches for specific use cases. • Build proofs of concept, run model benchmarks, and evaluate quality, cost, and scalability. • Design and maintain data pipelines for preparation, cleaning, anonymization, and feature engineering. • Build dataset repositories and data versioning processes for experiments and production workloads. • Develop the internal AI platform: inference APIs, prediction monitoring, and automated training/deployment. • Integrate language models with company systems, including RAG layers and prompt management. • Support product teams with architecture guidance, reusable AI components, documentation, and training. Requirements • At least 3 years of experience in AI/ML or Data Science Engineering. • Hands-on experience with Python and the ML/LLM ecosystem (e.g., OpenAI, Hugging Face). • Experience building data pipelines and working with production-scale datasets. • Understanding of MLOps practices and model deployment automation. • Ability to design APIs and integrate AI services with business systems. • Knowledge of data security, access control, and AI governance. • Strong analytical thinking and technical communication skills. • Good command of English for technical documentation and collaboration. Nice to Have • Experience with cloud platforms and GPU workloads. • Knowledge of RAG solutions, vector databases, and LLM response quality evaluation. • Experience in regulated or mission-critical environments. • Familiarity with model drift monitoring and AI ethics risk management. We Offer • A key role in building an internal AI platform with real organizational impact. • Work with a modern tool stack and high technical autonomy. • Growth opportunities in GenAI, MLOps, and data platform architecture. • Stable employment terms and a collaborative work environment. We offer • Work in a friendly, well-coordinated team of enthusiasts • Stable employment in a modern company with an established market position • Attractive salary and benefits package (e.g., private medical care, sports card) • Opportunities for professional development and participation in innovative projects