ML Engineer

The world of payment processing is rapidly evolving, and businesses are looking for loyal and strategic partners, to help them grow.

Meet Nuvei, Nuvei is the global fintech building the infrastructure for every payment, everywhere. Its modular, flexible, and scalable technology enables leading companies to accept next-generation payments, offer all payout options, and benefit from card issuing, banking, risk, and fraud management services. Connecting businesses to their customers in more than 200 markets, with local acquiring in 52 markets, 150 currencies, and over 720 alternative payment methods, Nuvei provides the technology and insights for customers and partners to succeed locally and globally through one integration.

At Nuvei, we live our core values, and we thrive on solving complex problems. We're dedicated to continually improving our product and providing relentless customer service. We are always looking for exceptional talent to join us on the journey!

Your Mission

Nuvei is seeking an experienced and visionary ML Engineer to join our dynamic technology organization. The successful candidate will be a part of a team of talented AI Engineers, Building agentic AI solutions, driving innovation and delivering business value through advanced Generative AI solutions & machine learning techniques. This role requires a strategic thinker with hands-on expertise in both traditional and cutting-edge Gen AI and LLM methodologies and a passion for continuous learning and development.

Responsibilities

• Build the solution: Own end-to-end technical delivery of agentic systems, from source-system integration through agent design, development, evaluation, and production deployment.
• Integrate AI systems with Nuvei's source systems (Salesforce, Databricks, Splunk, internal APIs, business applications). Handle agent harness and orchestration.
• Handle the operational handover to the business function and any necessary support transition
• Collaborate across teams: Partner closely with data engineering, platform, security, and business teams to align on requirements, dependencies, and integration points.
• Engage stakeholders: Gather requirements directly from business functions, communicate technical trade-offs clearly, and keep stakeholders informed on progress, risks, and timelines
• Uphold quality and reliability: Establish and maintain best practices for code quality, testing, evaluation, monitoring, and observability of deployed AI systems
• Contribute to the team's technical growth through knowledge-sharing and help shape engineering standards and reusable patterns
• Stay current: Continuously evaluate emerging Gen AI, LLM, and agentic frameworks, and recommend tools and approaches that improve delivery speed and solution quality
  
  

• 5+ years of ML / AI engineering, with at least 2 years building production AI / Agentic systems
• Hands-on with at least one Agentic framework (LangGraph, CrewAI, or custom) and an LLM provider's production tooling APIs
• Fluency in Python
• Track record of shipping fast: has examples of taking an AI system from idea to production in weeks, not quarters
• Comfortable working directly with business stakeholders without a product manager intermediary on every interaction
  
  

• Payments domain knowledge or experience in another regulated industry
• Production experience with Snowflake, Splunk, or similar enterprise data and observability platforms
• Open-source AI tooling contributions or technical writing
• Has built evaluation harnesses for LLM systems beyond simple accuracy metrics (e.g. hallucination scoring, agent trajectory eval)
  
  

• Private Medical Insurance
• Office and home hybrid working
• Global bonus plan
• Volunteering programs
• Prime location office close to the Tel Aviv train station