AI Engineer

Description

CHEQ is the Intelligence Standard for the Human-AI Era, trusted by over 15,000 customers worldwide to confidently engage, transact, and thrive in this new era of digital transformation.

Powered by award-winning cybersecurity technology, CHEQ offers the only integrated Traffic, Threat, and Identity Intelligence Engine, enabling companies to distinguish between legitimate users and bad actors - human, AI agent, or bot - and deliver granular, context-specific insights in real-time to marketing, commerce, and security platforms.

CHEQ is a global company with offices in Tel-Aviv, New York, London and Tokyo.

We are a fast-paced, technology-driven team where everyone's contribution impacts product success.

We are looking for a hands-on, business-minded AI Engineer to join our Data & AI Team.

This role is for someone who has already built and shipped real AI products in a company environment. You will work as an integral part of the Data & AI Team, partnering directly with business stakeholders to identify high-impact opportunities, translate business needs into technical solutions, and build AI products that automate internal processes and create immediate value.

The ideal candidate is a builder. You should be comfortable working with LLMs, AI agents, automation workflows, APIs, data pipelines, data warehouses, and internal company systems. You should also be comfortable taking ownership, asking sharp business questions, and moving ideas from concept to production.

Our Data Team has already built internal AI products at CHEQ. Now we are looking for someone who can help take us to the next level.

What We’re Looking For

The right person has built with AI in a real company environment and knows how to turn business needs into practical internal products. They should be comfortable working with stakeholders, understanding how teams operate, and identifying where AI can create meaningful value.

Because this role sits inside the Data & AI Team, they also need to be strong with data. That means working confidently with company data, data warehouses, pipelines, APIs, and the technical building blocks that make AI products reliable and useful.

This role is for someone hands-on, curious, and hungry to build. Someone who can combine AI, data, and business context to help CHEQ move faster, automate smarter, and turn ideas into measurable business wins.

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.

Requirements

• 3 + years of hands-on experience in AI Engineering, Data Engineering, Software Engineering, Data Science, Analytics Engineering, or a similar technical role.
• Proven experience demonstrating strong business acumen, ownership, and communication skills, with the ability to work independently with stakeholders and drive projects from idea to production.
• Proven customer-facing and internal-facing experience, with the ability to effectively collaborate, communicate, and build strong relationships with both customers and cross-functional stakeholders.
• 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.
• Degree in Engineering, Computer Science, Mathematics, Statistics, Physics, or a related quantitative field - advantage 

Advantages

• 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.