Design and architectural oversight of complex AI/LLM solutions in cloud and on-premise environments
Building and implementing advanced generative solutions (GenAI), including: RAG (Retrieval-Augmented Generation) systems, agent architectures and agent orchestration (LangChain, LangGraph, Haystack, Semantic Kernel), multimodal solutions (text, image, sound, video)
Designing and managing end-to-end projects – from analysis and PoC to production implementation
Consulting and advising for business clients – identifying AI use cases, creating business cases, evaluating business value
Conducting evaluations of new AI/LLM technologies (open-source and commercial, including Hugging Face, OpenAI, Anthropic, Meta, Mistral, Google, Cohere)
Implementation and optimization of MLOps/LLMOps processes (model monitoring, retraining automation, champion-challenger)
Substantive leadership of engineering teams implementing AI solutions, mentoring, and support in technological decision-making
Requirements
Higher education (computer science, data science, mathematics, econometrics, quantitative methods, or related fields)
Very good knowledge of AWS, in particular AWS SageMaker and Bedrock
Minimum 5–7 years of experience in implementing AI projects, including at least 3 years of LLM experience.
Experience in designing the architecture of enterprise-level AI/LLM solutions.
Proficient Python skills and practical experience with AI/ML frameworks.
In-depth knowledge of: RAG, prompt engineering, fine-tuning and adapters (LoRA, PEFT), training and evaluating language models (NLP, LLM, multimodal), agent orchestration, and AI workflows.
Experience in data preparation for AI solutions (ETL, SQL, data pipelines, embeddings, text and multimodal data cleansing).
Ability to select appropriate LLM models for specific tasks based on benchmarks, quality metrics, costs, and business requirements.
Knowledge of engineering best practices: CI/CD, code review, testing. GitLab/GitHub
Ability to think analytically and translate complex AI concepts into simple business terms
Very good English (C1)
What we offer
Participation in diverse and technologically advanced Data Science and GenAI projects
Modern technology stack and openness to implementing new solutions
Work in a Data Science/AI competency team
Private healthcare and sports card
Flexible working hours and the possibility of 100% remote work
Team-building events and unforgettable company events
