Senior AI Engineer

Ai-Native Product Development

Design and implement AI-first architectures, where machine learning and generative AI are foundational system components.
Build and productionize ML and Generative AI workflows, including prompt engineering, retrieval-augmented generation (RAG), evaluation, and iteration.
Develop end-to-end AI features, from data ingestion and feature engineering to inference and feedback loops.
Partner with Product and UX teams to shape AI-driven user experiences, ensuring usability, explainability, and trust.

Prompt Engineering & Optimization

Design, develop, and optimize prompt strategies for large language models to ensure accuracy, consistency, and relevance in production use cases.
Implement prompt versioning, experimentation, and A/B testing to support rapid iteration and data-driven improvements.
Continuously evaluate and refine prompts using offline evaluation, automated testing, and live telemetry to reduce hallucinations and improve output quality.
Optimize prompt and model usage to balance response quality, latency, and cost efficiency at scale.
Collaborate with UX and Product to align prompt behavior with user intent, tone, and experience expectations.

Engineering & Platform Excellence

• Develop scalable backend services using Java and/or Python, deployed in AWS cloud environments.
  Design and optimize API-driven architectures that integrate AI services securely and reliably across the platform.
  Work with SQL and NoSQL databases to support transactional and analytical workloads.
  Apply strong engineering fundamentals around performance, reliability, observability, and security.
  Contribute to architectural decisions that ensure long-term scalability and maintainability.

Leadership & Collaboration

• Provide technical leadership in AI and system design discussions.
  Mentor engineers and help raise the overall AI and engineering maturity of the team.
  Collaborate cross-functionally with Data Science, Platform, UX, DevOps, and Security teams.
  Influence technical roadmaps and align AI capabilities with Workforce AI product goals.

Qualifications

• 8–10 years of professional software engineering experience.
  Strong hands-on experience with Java and/or Python.
  Proven experience delivering AI/ML or Generative AI systems in production.
  Hands-on expertise in prompt engineering and prompt optimization for LLM-powered applications.
  Solid experience with AWS and cloud-native system design.
  Strong working knowledge of SQL and NoSQL databases.
  Ability to design systems that balance AI quality, scalability, latency, and cost.

Skills

• Experience with LLMs, RAG architectures, vector databases, and structured output enforcement.
  Familiarity with MLOps practices (model versioning, monitoring, evaluation).
  Experience designing AI-powered user experiences in partnership with UX teams.
  Background in enterprise SaaS or workforce/HR technology.
  Experience taking AI products from concept to production.

Benefits

• Competitive total rewards package including base salary range of $137,100 - $219,400 USD.

Pay

• The disclosed salary range reflects the geographic differential based on the location of the position if applicable.

Schedule

• This is an Office Based role located in Dublin.

Company Overview

Cornerstone powers the potential of organizations and their people to thrive in a changing world. Cornerstone Galaxy, the complete AI-powered workforce agility platform, meets organizations where they are. With Galaxy, organizations can identify skills gaps and development opportunities, retain and engage top talent, and provide multimodal learning experiences to meet the diverse needs of the modern workforce. More than 7,000 organizations and 100 million+ users in 180+ countries and in nearly 50 languages use Cornerstone Galaxy to build high-performing, future-ready organizations and people today.