1 day ago
Dublin, IrelandMid Level / Senior
Responsibilities
- Build and deploy AI-powered features that automate implementation work and guide complex configuration tasks.
- Integrate AI/ML models, including LLM-based capabilities, into products from prototype through production.
- Contribute to the infrastructure, pipelines, and monitoring required to operate AI systems reliably at scale.
- Collaborate with product, implementation, partner, and enablement teams to translate deployment challenges into AI-driven solutions.
- Improve the performance, reliability, and cost efficiency of deployed AI capabilities.
- Develop AI engineering expertise while helping establish a new discipline within the team.
Requirements
- Require 3–5 years of software engineering experience.
- Require strong proficiency in Python.
- Require experience with LangGraph, LangChain, and LangSmith, or willingness to quickly learn them.
- Require proficiency in at least one statically typed language such as Java, Scala, Rust, or C++.
- Require hands-on experience building applications with Large Language Models.
- Prefer exposure to agentic design patterns in which an LLM uses tools to interact with its environment.
- Prefer experience developing and deploying applications on AWS, GCP, or Azure.
- Prefer familiarity with event-driven systems and asynchronous task handling.
- Require the ability to collaborate across technical and non-technical teams and work effectively in ambiguous, fast-paced environments.
Benefits
- Flexible work model combining remote and in-person work, with at least 50% of each quarter spent in the office or in the field with customers, prospects, or partners.
- Role is based in Dublin, Ireland.
- Eligible roles may receive participation in the Workday Bonus Plan or a role-specific commission/bonus and annual refresh stock grants.
- Workday provides reasonable accommodations and is an equal opportunity employer.
Categories
About Workday
Workday builds cloud-based enterprise applications for human capital management and financial management, including payroll, time tracking, expenses, planning, and procurement, sold on a subscription basis with professional services. Founded in 2005 and headquartered in Pleasanton, California, it is a public company traded on NASDAQ as WDAY. Organizations worldwide use Workday to unify HR and finance data, automate processes, and apply AI to workforce and financial operations.