We are seeking Lead AI/ML Engineer with complex visionary approach and proactive position to lead the development of advanced AI-driven systems for intelligent document understanding and automated data extraction. This includes building robust pipelines for parsing complex, multi-format documents as well as developing autonomous AI agents capable of navigating web platforms and collecting unstructured data at scale.
Key Responsibilities: * Lead the design and implementation of a hybrid AI architecture combining traditional OCR pipelines with modern LLMs and multimodal models * Architect intelligent agents capable of navigating web sources and autonomously collecting document data across multiple formats (PDF, Excel, Word, JSON, images, etc.) * Drive innovation in document understanding through structured parsing (headings, sections, tables), multimodal layout analysis, and semantic search * Guide the development of an agent-orchestrator that dynamically selects optimal pipelines and models based on document characteristics * Oversee integration with vector databases and metadata-driven storage for fast, structured access and retrieval * Enable the automatic generation of structured response templates (e.g., JSON) from unstructured data using LLMs * Actively contribute to R&D strategy, Proof-of-Concept development, and technology scouting for emerging AI tools and techniques * Collaborate cross-functionally with software engineers, DevOps, and product stakeholders to ensure scalable, production-ready solutions * Mentor and grow the AI/ML team, fostering a culture of experimentation, ownership, and continuous learning
Must-Have Qualifications: * 5+ years of experience in Machine Learning, Deep Learning, or Applied AI * Strong Python skills and experience with ML libraries such as PyTorch, TensorFlow, Keras * Deep understanding of LLMs, including fine-tuning, evaluation, and integration (e.g., using LangChain, LlamaIndex, Transformers, FAISS) * Experience with AI agent development and prompt engineering * Familiarity with document processing challenges: OCR, NLP/NLU, multimodal inputs. * Solid understanding of vector databases and semantic data retrieval * Ability to translate business needs into ML/AI solutions and communicate insights effectively * Experience working in dynamic R&D environments with evolving priorities * Upper Intermediate or higher level of English proficiency
Nice-to-Have: * Experience with Computer Vision tasks and layout analysis * Familiarity with LLMOps and orchestration of ML pipelines * Knowledge of DevOps/MLOps practices: Docker, Kubernetes, CI/CD * Experience with both SQL, NoSQL, and vector-based storage systems * Prior work on intelligent agents for automated data collection/scraping
We offer: * Flexible schedule * Horizontal management and communication directly with project stakeholders * 20 days of paid vacation * Paid sick-leaves * Annual activities budget — we endorse your wish to self-improvement * Remote work
