AI Engineer (with Data Science background)
We are a software web and mobile development company pivoting towards an AI-driven future
Leded by a visionary CEO with extensive expertise in sales, marketing, and production, and together with our team, which includes AI Engineers, Senior Data Scientists, PMs, QAs and Python Engineers our focus is integrating AI into client products and pioneering AI business automation
Our expertise spans Agentic AI development, workflow automation, analytics, dashboards, and content creation, primarily concentrating on the innovative realm of AI over traditional ML
For example, one of our projects
We develop cutting-edge AI-powered recommendation systems for e-commerce and real estate sectors. Our solutions help clients create personalized user experiences using modern artificial intelligence technologies.
How it works?
The ETL pipeline forms the foundation of our system, efficiently processing store product data through four key stages: raw data extraction from e-commerce platforms, preprocessing for standardization, thorough validation, and structured saving into our database ecosystem. This ensures all product information, including descriptions, specifications, and images, maintains consistent quality and format for downstream processing.
Our system utilizes a sophisticated multi-database approach where the Products Database stores core product information, complemented by vector databases for semantic search capabilities. The Products Metadata maintains structured categorization of items and their attributes, while Store Metadata holds essential business information about shipping, returns, and FAQs. User Context Data captures and maintains session information for personalized shopping experiences.
The Context Manager serves as the central orchestrator of our platform, coordinating all agent interactions and managing session data flow. It ensures seamless communication between different AI agents and maintains user context throughout the shopping journey, enabling personalized and contextually relevant product recommendations.
Our system employs a network of specialized AI agents working in harmony: the Recommendation Agent generates precise product searches using LLM-powered SQL queries, the Q&A Agent provides detailed product information, while the Alternatives and Bought Together Agents suggest complementary items. The Result Enrichment Agent enhances product descriptions, and the Related Query Agent generates relevant follow-up questions to better understand customer needs.
The Comparison Agent provides comprehensive product analysis by examining both similarities and differences between items. It processes multiple products simultaneously and merges the results into clear, actionable insights, helping customers make informed purchasing decisions through detailed product comparisons.
Technical Skills
- Strong proficiency in Python
- Experience with modern Large Language Models (LLMs)
- Experience in developing and optimizing ETL pipelines
- Deep understanding of recommendation systems principles
- Experience with vector and relational databases
- REST API development skills
- Understanding of machine learning and deep learning principles
- Knowledge of Natural Language Processing (NLP) methods
- Experience with semantic search systems
- Understanding of multi-agent system principles
- 2+ years of experience in developing production ML systems
- Experience working with MCP (Model Context Protocol)
Practical experience integrating AI solutions into existing business processes
Nice to Have
- Experience in Data Science
- Experience with microservice architecture
- ML systems performance optimization skills