Staff AI/ML Engineer (Generative AI)

Location: Ireland; flexible hybrid schedules, work-from-home flexibility, and onsite collaboration available in the Galway office.

Company

hirify.global provides an AI-powered experience orchestration platform connecting people, systems, data, and AI for customer and employee experiences.

What you will do

• Define the architecture and roadmap for an agentic platform covering planning, tool use, memory, orchestration, and multi-agent collaboration.
• Build evaluation foundations for non-deterministic systems, including offline and online evaluations, LLM-as-judge, simulation, regression testing, and production quality monitoring.
• Improve reliability, safety, guardrails, latency, and cost for low-latency AI services at global scale through model routing, caching, distillation, and small-model strategies.
• Extend conversational agents to complex multi-step workflows, real-time voice, and multimodal experiences.
• Translate emerging AI research into validated production capabilities without disrupting live customers.
• Lead cross-functional initiatives, establish engineering standards through design and technical reviews, mentor senior engineers, and partner with product, UX, customers, and vendors.

Requirements

• 7+ years of software engineering experience with demonstrated AI/ML systems expertise, including recent experience shipping LLM-based or agentic systems to production.
• Hands-on experience designing agentic architectures using tool and function calling, planning, memory, RAG, multi-agent patterns, and context engineering.
• Experience evaluating and monitoring production LLM systems, including quality metrics, guardrails, hallucination management, and safety risk management.
• Strong software engineering and distributed systems fundamentals, including experience running low-latency, multi-tenant services at scale.
• Strong hands-on experience building and operating production systems in cloud environments; AWS is preferred, with Azure or GCP also relevant.
• Track record of technical leadership across teams, including setting direction, making architecture decisions, and mentoring engineers.
• Excellent communication skills, including the ability to explain trade-offs to engineers, product leaders, and customers.
• A degree in Computer Science, Software Engineering, Data Science, or a related discipline is preferred but not required.

Nice to have

• Experience applying LLMs to conversational systems, including fine-tuning, distillation, or preference optimization such as reinforcement-learning-based methods.
• Familiarity with voice AI technologies, including ASR, TTS, turn-taking, latency optimization, and multimodal conversational interfaces.
• MLOps or LLMOps experience in model serving, observability, cost management, and A/B experimentation.
• Experience with enterprise AI governance, security risks such as prompt injection and data leakage, and responsible AI practices.
• Conversational AI experience in NLU, dialogue management, or the contact centre domain.
• Contributions to open-source AI projects, research publications, or AI/ML patents.

Culture & Benefits

• Flexible work options including hybrid schedules, work-from-home flexibility, and onsite collaboration.
• Continuous learning, mentoring, leadership development, education support, and career advancement opportunities.
• Employer-supported pension scheme, annual bonus, private health insurance, dental coverage, wellness support, income protection, and life assurance.
• Family-friendly policies with paid maternity and paternity leave, paid volunteer time, and well-being resources.
• Work on AI-powered technology used by more than 8,000 organizations worldwide as part of a flexible-first global organization.

Hiring process

• Applications are reviewed by the Talent Acquisition team and hiring team, followed by a Zoom interview if the background is aligned.
• Further stages include meetings with the hiring manager and interview team, with no more than five interviews in most cases.
• Employees who referred a candidate should have the candidate apply through the referral link provided.