Data & Analytics AI Engineer

About the Role

We are seeking a hands-on, business-minded AI Engineer to join CHEQ’s Data & AI Team in Tel Aviv. You will turn business needs into practical AI products, automate internal processes, and partner with stakeholders to deliver measurable value. The ideal candidate has built and shipped real AI products in a company environment and is comfortable working with LLMs, AI agents, automation workflows, APIs, data pipelines, and internal systems.

What You'll Do

• Build end-to-end internal AI products, automations, agents, and workflows that solve real business problems across CHEQ.

• Work directly with business stakeholders to understand pain points, define requirements, and turn ideas into scalable AI-driven solutions.

• Design, prototype, test, deploy, and maintain production AI products using LLMs, AI agents, APIs, automation frameworks, and internal company data.

• Work hands-on with data tools and infrastructure, including Snowflake, ETLs, data pipelines, APIs, AI tools, and internal servers.

• Identify high-impact manual processes and turn them into automated AI-driven business wins.

• Evaluate new AI tools, frameworks, and agentic workflows, and apply them where they can improve productivity, decision-making, or business operations.

• Help shape internal AI development best practices around reliability, usability, security, documentation, maintainability, and production readiness.

• What We're Looking For

• 2–5 years of hands-on experience in AI Engineering, Data Engineering, Software Engineering, Data Science, Analytics Engineering, or a similar technical role.

• Proven experience building and deploying AI-powered products, workflows, agents, automations, or business solutions in a real company environment.

• Strong hands-on experience with LLMs, AI agents, prompt engineering, RAG, workflow automation, APIs, or AI development frameworks.

• Ability to code and build practical solutions using Python, SQL, JavaScript/TypeScript, or similar languages.

• Strong data experience, including ETLs, data pipelines, APIs, databases, data warehouses, and Snowflake.

• Experience working in a SaaS or B2B technology company.

• Strong business acumen, ownership, and communication skills, with the ability to work independently with stakeholders and drive projects from idea to production.

• Degree in Engineering, Computer Science, Mathematics, Statistics, Physics, or a related quantitative field - advantage.

• Nice to Have

• Experience with agent frameworks, RAG systems, vector databases, orchestration tools, Snowflake, Airflow, Rivery, Gitlab, Claude, OpenAI, or similar tools.

• Experience working in a cybersecurity or data company.