- Drive technical decisions around AI evaluation frameworks, monitoring, and observability tools
- Design, build, and deploy AI-powered solutions across yad2s products and platforms
- Work hands-on with Large Language Models (LLMs), retrieval-augmented generation (RAG), embeddings, vector databases, and prompt engineering
- Develop scalable backend services that integrate AI capabilities into production
- Collaborate closely with product, data, and engineering teams to identify high-impact AI opportunities
- Lead by example: write clean, high-quality code, set best practices, and help shape the foundation of the AI team
Requirements: - Strong software engineering background - solid experience with Python or Node.js, microservices, APIs, and cloud environments (AWS preferred)
- Hands-on AI experience - building and deploying applications with LLMs (OpenAI, Anthropic, HuggingFace, etc.) and generative AI technologies
- Knowledge of Machine Learning fundamentals ( data preprocessing, model fine-tuning, evaluation)
- Experience with vector databases (e.g., Pinecone, Weaviate, FAISS) and search/recommendation systems is a big plus
- Ability to thrive in ambiguity, take ownership, and move fast in a startup-like environment
- Prior experience in building or scaling AI/ML infrastructure in production - an advantage
- Understanding of AI evaluation methodologies and metrics
This position is open to all candidates.