3 days ago
Galway, IrelandStaff+
Responsibilities
- Define the architecture and roadmap for agentic platform capabilities such as planning, tool use, memory, orchestration, and multi-agent collaboration across multiple teams.
- Build offline and online evaluation systems, LLM-as-judge workflows, simulations, regression testing, and production quality monitoring for nondeterministic systems.
- Improve agent reliability, safety, guardrails, latency, and cost through model routing, caching, distillation, and small-model strategies.
- Extend agents to complex multi-step workflows and real-time voice and multimodal experiences.
- Translate emerging AI research into validated production capabilities through experimentation.
- Lead cross-functional initiatives, establish engineering standards through design and technical reviews, and mentor senior engineers.
- Partner with product, UX, customers, and vendors to deliver trusted AI solutions.
Requirements
- 7+ years of software engineering experience with demonstrated AI/ML systems expertise and recent experience shipping LLM-based or agentic systems to production.
- Hands-on experience with agentic architectures, including tool and function calling, planning, memory, RAG, multi-agent patterns, and context engineering.
- Experience evaluating and monitoring LLM systems in production, including quality metrics, guardrails, hallucination management, and safety-risk management.
- Strong software engineering and distributed-systems fundamentals, including experience operating low-latency, multi-tenant services at scale.
- Strong hands-on experience building and running production systems in cloud environments, ideally AWS; Azure or GCP experience is also relevant.
- Demonstrated technical leadership across teams, including setting direction, making architecture decisions, and mentoring engineers.
- Excellent communication skills for explaining technical trade-offs to engineers, product leaders, and customers.
- A degree in Computer Science, Software Engineering, Data Science, or a related discipline is desirable but not required.
- Desirable experience includes LLM application development, fine-tuning, distillation, preference optimization, voice AI, MLOps/LLMOps, model serving, observability, cost management, A/B experimentation, enterprise AI governance, conversational AI, open-source AI contributions, research publications, or AI/ML patents.
Benefits
- Flexible work options including hybrid schedules, work-from-home flexibility, and onsite collaboration at the Galway office.
- Continuous learning, mentoring, career development, leadership development, and education support.
- Employer-supported pension scheme.
- Annual bonus program.
- Private health insurance, company dental plan, and wellness supports.
- Income Protection, Life Assurance, and financial planning resources.
- Generous paid maternity and paternity leave.
- Paid volunteer time, August Free Fridays, and regionally tailored well-being programs.
Tech Stack
Categories
About Genesys
Genesys builds cloud contact center and customer experience software used by enterprises to manage voice and digital interactions, self-service, and workforce engagement. Its Genesys Cloud platform and related tools are sold as subscription services (CCaaS) with AI for routing, automation, and analytics. The company serves more than 8,000 organizations worldwide and is headquartered in Menlo Park, California.