AI Engineer

We are seeking a talented and experienced AI Engineer with a Data Science background to join our professional services team of over 60 engineers, headquartered in Israel. The position is available full-time, with part-time arrangements possible for the right candidate. This remote-first role focuses on Generative AI, specifically working with advanced Large Language Models (LLMs) and building AI agents. You'll work with state-of-the-art foundation models through platforms like AWS Bedrock and GCP Vertex AI to develop innovative GenAI applications and scalable AI infrastructure for our clients.

Key Responsibilities:

Generative AI Development: • Design and implement production-ready generative AI applications and AI agents using foundation models and cutting-edge protocols like MCP and A2A • Fine-tune and optimize LLMs for specific use cases and domains • Create and maintain prompt engineering strategies and evaluation frameworks • Design and deploy autonomous AI agents with targeted capabilities

AI/ML Engineering: • Build end-to-end LLM pipelines for fine-tuning, deployment, and monitoring • Implement RAG (Retrieval-Augmented Generation) systems • Create efficient vector storage and embedding solutions

Infrastructure and Operations: • Build and maintain robust AI infrastructure using AWS and GCP services • Implement monitoring systems for model performance and infrastructure health • Optimize cloud resources for cost-efficiency while maintaining performance

Preferred Qualifications: • 4+ years of experience in AI, machine learning, or data science, with a recent focus on Generative AI • Strong programming skills and experience with LLM and Agent frameworks (LangChain, CrewAI) • Expertise in cloud platforms (AWS, GCP) and containerization technologies • Deep understanding of LLM operations, including prompt engineering and RAG • Experience with vector databases and semantic search implementations • Experience building and deploying AI agents using modern frameworks • Strong analytical and problem-solving abilities

Employment Options: • Full-time position (40 hours/week) • Part-time arrangements available for qualified candidates (minimum 20 hours/week)

Benefits: • Potential career paths include AI Team Lead • Collaborative remote team environment • Opportunity to contribute to open-source GenAI initiatives and research publications