2 months ago
Dublin, IrelandStaff+
Responsibilities
- Lead and mentor Applied Scientists and AI/ML Engineers while fostering technical excellence and scientific rigor.
- Define technical strategy for AI/ML solutions that extract value from structured CRM data and unstructured content.
- Build autonomous agentic workflows and real-time reasoning engines for the AI-native CRM.
- Partner with the AI Platform team on LLMOps strategy, experimentation, and robust deployment infrastructure.
- Design and optimize production AI systems and data-intensive solutions for customer and business impact.
- Act as a technical authority across the AI/ML and data ecosystem and shape the AI engineering roadmap.
- Remain a hands-on technical leader for critical systems while delegating effectively and developing team capabilities.
Requirements
- 8+ years of applied science or engineering experience in high-scale production environments across the full ML and AI lifecycle.
- Proven ability to lead and scale technical teams, mentor senior talent, and raise organizational technical standards.
- Hands-on expertise with agentic system orchestration such as LangGraph, RAG architectures, and vector databases.
- Track record of delivering customer and business value through AI/ML solutions at scale.
- Broad practical knowledge of ML, deep learning, AI, model trade-offs, and agentic frameworks.
- Strong product sense and business awareness with the ability to connect technical decisions to user outcomes.
- Ability to lead through influence and technical authority across platform and engineering teams.
- Solid understanding of AWS or GCP, distributed systems, container orchestration, and data engineering including batch pipelines, feature stores, and Kafka.
Benefits
- Flexible hours, wellness perks, SWAG, performance-based bonuses, 28 paid leave days, well-being days, compassionate leave, and pawternal leave.
- Mentorship, coaching, internal mobility, and ongoing professional development.
- Hybrid work arrangement.
- Applicants must already have the legal right to work in the UK without visa sponsorship or relocation assistance.
Tech Stack
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