AI Engineer

AI Engineer

Rep is the first AI-powered Concierge (sales chatbot) for eCommerce. It proactively approaches disengaged site visitors and offers shopping assistance for everyone. As a result, Rep sells more stuff and handles up to 90% of all support requests.

We are looking for a talented AI Engineer to join our AI development team. As part of our core AI team, you will play a key role in building and optimizing AI agents, web crawling pipelines, prompt engineering systems, caching strategies, and the data infrastructure that powers our conversational AI platform. You will work on designing and developing scalable AI agents using the OpenAI Agents SDK, implementing sophisticated web scraping systems to build knowledge bases, optimizing Redis caching for real-time performance, querying massive datasets with AWS Athena/SQL, and building RAG systems that enable our AI to deliver accurate, context-aware responses.

The role extends beyond traditional AI development and includes building intelligent web crawlers for content extraction, implementing multi-layer caching strategies for sub-second response times, writing complex SQL queries for analytics and data retrieval, designing agent orchestration systems, implementing RAG (Retrieval Augmented Generation) pipelines, optimizing embeddings and vector search, and prompt engineering at scale. Given our need for real-time, high-quality AI interactions across hundreds of merchants, web scraping reliability, cache hit rates, query performance, response quality, and cost efficiency are critical.

Fluent English level, critical thinker and problem-solving skills, good time-management skills, great interpersonal and communication skills, team player.

Requirements

• Strong problem-solving skills and a team player mentality
• 3+ years of experience developing AI/ML systems with Python
• Strong experience with web scraping and content extraction (BeautifulSoup, requests, async clients)
• Proven experience with Redis or similar caching systems for high-performance applications
• Solid SQL skills (preferably AWS Athena)
• Deep hands-on experience with LLM APIs (OpenAI, Anthropic, or similar)
• Proven experience building production AI agents or conversational AI systems
• Experience with prompt engineering and instruction optimization techniques
• Strong understanding of RAG (Retrieval Augmented Generation) architecture
• Experience with vector embeddings and similarity search (OpenAI, Cohere, or similar)
• Strong experience with FastAPI REST APIs, async Python (asyncio, aio and concurrency patterns (multiprocessing, ThreadPool)
• Experience with AWS cloud services (S3, Lambda, Bedrock preferred)

Will be even better if you have

• Advanced Redis patterns (pub/sub, streams, distributed caching)
• Experience with OpenAI Agents SDK or similar agentic frameworks
• Experience building multiagent systems with tool calling capabilities
• Experience with conversation state management and context caching
• Knowledge of embedding models and vector database optimization
• Experience with web scraping and content extraction for RAG pipelines
• Experience with AI cost optimization and token management
• Experience in ecommerce AI applications
• Familiarity with AI observability and logging systems
• Experience with A/B testing AI prompts and agent behaviors

Why join Rep AI?

• Work on cutting-edge AI agent technology, solving real e-commerce problems
• Shape the future of conversational AI for e-commerce
• Fast-paced startup environment with significant impact
• Work with modern AI tools and be at the forefront of LLM technology

Location: Israel

Employment Type: Full-time

Experience Level: Mid to Senior (3+ years)

Benefits

Generous equity package

Have skin in the game and share in Rep AI's future success.

Company offsites

Connect with the global team, collaborate in person, and build relationships beyond the screen.

Retirement benefits

Plan ahead with benefits designed to support your future.

Remote-first work

Join a global team and do meaningful work from wherever you do your best work.