AI Engineer

AI Engineer

A leading company in Northern Israel is looking for an AI Engineer to develop advanced AI solutions based on LLM technologies.

The role combines backend and frontend development and includes building end-to-end AI products, working with embeddings, VectorDB, RAG architectures, LLM integrations, prompt engineering, model evaluation, and deployment in both cloud and offline environments.

Responsibilities:

Developing backend services for AI products, including APIs, data processing flows, and system integrations

Designing and developing RAG solutions, including document management, chunking, indexing, semantic search, and re-ranking

Working with VectorDB technologies, including schema design, query optimization, index management, and performance monitoring

Integrating advanced LLM models, optimizing prompts, defining guardrails, and building evaluation processes

Managing AI models, including training, optimization, fine-tuning, quantization, serving, and deployment

Applying advanced prompt engineering techniques, including templates, few-shot prompting, rules, constraints, and conversation context management

Defining quality tests for LLM outputs, including consistency, factuality, safety, instruction-following, and regression testing between versions

Improving model outputs through system prompts, parameter tuning, and model behavior optimization

Developing frontend interfaces using React with Next.js or Nuxt.js, including AI system interfaces and operational dashboards

Requirements:

At least 2 years of proven experience developing AI solutions based on LLM technologies – mandatory

Hands-on experience with Python, FastAPI, Flask, React, Next.js, VectorDB, LLM serving, containers, Kubernetes, and Git – mandatory

Experience developing RAG-based solutions and working with embeddings – significant advantage

Experience working in cloud environments and/or disconnected offline environments – advantage

Bachelor’s degree in Information Systems, Software Engineering, Data Engineering, or a related field – advantage