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Genesys

Cloud-based contact center software platform

Senior AI/ML Engineer - Data Science & AI

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeGalway, Ireland

About the Job

Requirements

  • A university degree in Computer Science, AI/ML, Data Science, or a related field, or equivalent experience, and at least 5 years of software or AI/ML engineering experience.
  • Strong Python or Java skills, proven experience designing and building RESTful APIs and microservices, and solid working knowledge of cloud services, including serverless computing; AWS is preferred.
  • Proficiency with continuous integration and continuous delivery tooling, Git, and a testing-first approach.
  • Ability to write clear specifications and use them to generate, test, and validate code, and to model and validate structured data such as schemas, policies, and constraints.
  • Hands-on experience building with large language models, including prompt design, structured outputs, and evaluating model behaviour, while applying responsible AI practices for secure, reliable, and responsible system behaviour.
  • Ability to explain technical trade-offs in plain language to product managers, user experience partners, and others; turn open-ended problems into clear requirements; and mentor engineers while influencing team decisions.

Responsibilities

  • Design and build backend application programming interfaces and services in the cloud, lead design discussions, contribute to high-level architecture documents, and make and justify technical decisions with security and privacy in mind.
  • Write clear specifications and use them to generate, test, and validate code; build large-language-model-based features, including prompt design, structured outputs, and evaluation of model behaviour.
  • Lead feature design and delivery from open-ended problem to production, clarify requirements with product managers and other partners, and raise delivery risks early.
  • Lead operational reliability, including deployments, monitoring, and incident response; improve continuous integration and continuous delivery pipelines; and optimize performance and maintainability through refactoring.
  • Mentor junior engineers and set and uphold coding standards and best practices through code reviews.

Desired Qualifications

  • Experience with tool-using AI agents, multi-agent frameworks, or workflow orchestration.
  • Experience with contact centre or customer experience platforms.
  • Experience with machine learning operations practices for deploying AI systems at scale, and with fine-tuning or adapting models.
  • Experience with data streaming platforms such as Kafka and event-driven design.

About the Company

Genesys

Cloud-based contact center software platform

Genesys provides customer experience and contact center software. Its core product, Genesys Cloud CX, is a cloud-native platform for handling customer interactions across voice, messaging, email, chat, and social channels, with built-in AI for self-service, agent assistance, and journey orchestration. It also offers Genesys Cloud EX for workforce engagement and Multicloud CX and PureConnect for private cloud or on‑premises deployments, plus a marketplace called AppFoundry with hundreds of integrations. The company aims to help organizations deliver consistent, efficient customer experiences by routing interactions intelligently, automating self-service, and supporting agents across omnichannel channels at scale.

Company size
5,001-10,000
Company stage
Debt Financing
Total funding
$2.6B
Headquarters
Menlo Park, CA
Founded
2000

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