Lead AI Engineer
About the Role:
We are looking for a Lead AI Engineer to join a fast-growing US e-commerce project where AI is not an experiment but a core business driver. You will lead the design and implementation of AI-powered systems (with a strong focus on RAG-based solutions) that directly impact customer experience, personalization, search, and operational efficiency. This is a hands-on leadership role with real ownership over technical decisions and architecture.
What You’ll Do
- Lead the design, development, and evolution of AI-driven features in a production-grade e-commerce platform
- Architect and implement Retrieval-Augmented Generation (RAG) pipelines using modern LLM ecosystems
- Own end-to-end AI solutions: from data ingestion and retrieval layers to LLM orchestration and APIs
- Collaborate closely with product, backend, and frontend teams to translate business needs into scalable AI systems
- Establish best practices for AI engineering, including evaluation, monitoring, and performance optimization
- Mentor engineers and act as a technical leader in AI-related decisions
- Stay ahead of the curve on LLM tooling, frameworks, and emerging AI patterns
What We’re Looking For:
- Strong software engineering background with experience building scalable, production systems
- Deep hands-on experience with RAG (Retrieval-Augmented Generation) frameworks and architectures
- Proficiency with AI/ML frameworks such as LangChain, Google ADK, or equivalent LLM orchestration tools
- Solid understanding of LLM behavior, embeddings, vector databases, and prompt engineering
- Experience integrating AI solutions into real-world products, not just prototypes
- Experience leading or mentoring engineers in a technical capacity
What We Offer:
- Long-term, stable project with a US-based product company
- Remote-friendly environment with strong async collaboration culture
- High level of trust, ownership, and technical autonomy
- Opportunity to grow into a principal or AI architect role as the product scales
Required skills experience
| AI/ML | 5 years |
| RAG | 1.5 years |
| LangChain | 1.5 years |
Required languages
| English | C1 - Advanced |
Published 2 February
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