AI Engineer

We are expanding the team for an enterprise-level project and looking for an AI Engineer with at least 2 years of commercial experience in AI and conversational English

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Project: A cloud infrastructure service for large e-commerce platforms. The product offers its users a secure environment and a convenient infrastructure management portal. This solution allows e-commerce businesses to focus on growing their brands instead of managing infrastructure.

The ecosystem includes advanced features such as real-time predictive auto-scaling, custom web application firewall (WAF) rules, and bot management—supporting everything from small e-commerce startups to large enterprises with multiple domains.

The system ensures predictable scalability and stable operation, especially during peak loads. To date, over 3000 businesses have successfully migrated to the cloud.

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Project Stack: Magento, PHP, AWS, Azure, GCP


Team: Magento Developer, 2 DevOps Engineers from our side, and CEO, VP of Customer Support, and SVP of AI from the client’s side

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Responsibilities:

• Collaborate with e-commerce clients to design and build GenAI solutions in the form of agents that process large volumes of information
• Develop agents with specific functionality (memory-enabled agents, routing via LangChain, MCP, etc.)
• Integrate third-party services and APIs into AI agents
• Develop AI components such as similarity search, guardrails, evaluation tools, etc.
• Build ETL pipelines, process data in real time
• Keep track of emerging research in the field of agents and implement new methods to improve scalability, speed, and cost-efficiency of AI solutions

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We find important:

• 6+ years of experience in programming and computer science
• 2+ years of experience in the AI field
• Understanding of AI theory: what LLM, ML, and AI are; how LLMs work internally
• Knowledge of major LLM providers and task-specific LLMs (e.g., for audio processing)
• Ability to build agents and understanding of RAG
• Experience working with cloud solutions (microservices, orchestration)
• Hands-on experience with AI cloud tools (AWS Ultraclusters, Hugging Face, VectorDB, PyTorch, etc.)
• Conversational English at Upper-Intermediate level or higher

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Will be a plus:

• Experience working as a Data Engineer
• Skills in building ETL pipelines and real-time data processing
• Experience working with JavaScript

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What we offer:

• Flexible & Remote work
• Zero bureaucracy and flat organizational structure
• No time trackersPaid vacation (15 working days) and sick leave (10 working days)

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Interview stages:‍

• Interview with a recruiter and English check (30–60 min)
• Technical interview (1–1.5 h)
• Interview with the client (1.5 h)

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