Senior AI/ML Engineer (AI)

Location: Galway, Ireland; onsite in the Galway office two to three days per week. Remote work options are also offered.

Company

hirify.global builds AI-powered experience orchestration technology connecting people, systems, data, and AI for more than 8,000 organizations in over 100 countries.

What you will do

• Design and build cloud-based backend APIs and services, with AWS preferred, and contribute to high-level architecture and technical decisions.
• Build LLM-powered features involving prompt design, structured outputs, code generation, testing, validation, and model-behavior evaluation.
• Lead feature delivery from open-ended problems to production, clarify requirements with Product Managers and other partners, and identify delivery risks.
• Lead deployments, monitoring, incident response, CI/CD improvements, performance optimization, refactoring, and maintainability efforts.
• Mentor junior engineers, conduct code reviews, and uphold coding standards and best practices.

Requirements

• University degree in Computer Science, AI/ML, Data Science, or a related field, or equivalent experience, plus 5+ years of software or AI/ML engineering experience.
• Ability to solve complex technical problems independently within the team’s domain.
• Strong Python or Java skills; experience designing and building RESTful APIs and microservices.
• Working knowledge of cloud services, including serverless computing, with AWS preferred; proficiency in CI/CD tooling, Git, and a testing-first approach.
• Ability to write clear specifications, use them to generate, test, and validate code, and 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 model-behavior evaluation.
• Ability to apply responsible AI practices for secure, reliable, and responsible system behavior.
• Ability to explain technical trade-offs in plain language, turn open-ended problems into clear requirements, mentor engineers, and influence team decisions.

Nice to have

• Experience with tool-using AI agents, multi-agent frameworks, or workflow orchestration.
• Experience with contact centre or customer experience platforms.
• Experience with MLOps for deploying AI systems at scale and with fine-tuning or adapting models.
• Experience with Kafka or other data streaming platforms and event-driven design.
• Collaborative mindset and an awkward sense of humour.

Culture & Benefits

• Flexible work options with a requirement to work onsite in the Galway office two to three days per week for this role.
• Career development, continuous learning, mentoring, leadership development, education support, and advancement toward technical leadership.
• Employer-supported pension scheme, annual bonus program, private health insurance, dental plan, wellness support, income protection, and life assurance.
• Paid maternity and paternity leave, supportive family leave options, paid volunteer time, August Free Fridays, and work-life balance support.
• Psychological safety, mutual support, flexible ways of working, and a diverse collaborative environment.

Hiring process

• Applications are reviewed by the Talent Acquisition team and hiring team.
• Shortlisted candidates typically complete a Zoom interview, followed by interviews with the hiring manager and other interviewers.
• The process usually includes no more than five interviews, followed by final steps and an application update.