Location: Remote (Based in Ireland)
Job Type: Full-time - Pan European
About Us!
Ready Computing is a global leader in data-centric IT solutions. We bridge the gap between complex data and real-world outcomes in healthcare, finance, and manufacturing. With a strong presence in the U.S. and UK, we are expanding our European footprint and looking for a talented AI Engineer to join our remote-first team.
In Ireland, we know the power of tech-for-good. If you’re looking to apply cutting-edge AI to meaningful healthcare challenges, you’ve found your next home.
What you'll do
As an AI Engineer, you will be the bridge between "what’s next" and "what works." This isn't just about maintenance; it’s about exploration. You will lead technical execution in cloud-native environments (GCP/AWS) and build prototypes that solve real-world problems.
Project Leadership
- Own the technical delivery of innovation-focused initiatives from concept to implementation.
- Collaborate with cross-functional teams to identify opportunities and shape solutions.
- Rapidly prototype and iterate on new applications or internal tools to validate ideas.
AI-Driven Development
- Design, build, and deploy AI-enabled solutions using services like Vertex AI, LangChain, and LLM APIs.
- Integrate machine learning models into internal tools, workflows, and user-facing products.
- Develop prompt engineering workflows, orchestration patterns, and scalable AI solutions.
Cloud Architecture & Engineering
- Architect cloud-native solutions in GCP and AWS, using best practices in scalability, security, and automation.
- Implement infrastructure as code using tools such as Terraform or CloudFormation.
- Support automation, API integration, and serverless deployments across multiple environments.
Technical Versatility
- Contribute across a wide range of engineering activities, including scripting, automation, cloud setup, and backend development.
- Solve ambiguous or undefined technical problems with practical and creative solutions.
- Provide support for troubleshooting, debugging, and optimizing solutions post-deployment.
Research & Experimentation
- Evaluate emerging technologies and frameworks and recommend potential applications to support internal and external initiatives.
- Document and share findings with internal teams to drive knowledge sharing and reusability.
What you bring
- Proficiency with Google Cloud Platform (GCP) and Amazon Web Services (AWS), including services such as Vertex AI, Cloud Functions, BigQuery, Cloud Run, Pub/Sub, Lambda, DynamoDB, and S3.
- Experience using infrastructure-as-code tools, particularly Terraform or CloudFormation, to build scalable and secure environments.
- Skilled in developing and integrating APIs, particularly RESTful services, to support both internal tools and external applications.
- Proficiency in Python for scripting, prototyping, and AI/ML workflows; familiarity with JavaScript or Java is a plus.
- Experience working with AI/ML platforms and frameworks, such as Vertex AI, LangChain, and large language model APIs (e.g., OpenAI, Gemini).
- Comfortable using CI/CD pipelines (e.g., GitHub Actions, Cloud Build, or Jenkins) to automate deployment and streamline development workflows.
- Strong understanding of cloud networking and security, including IAM roles, service accounts, VPCs, API authentication, and encryption best practices.
- Familiarity with containerization tools such as Docker and working knowledge of serverless and event-driven architectures.
- Experience with collaboration and project tools like Jira, Confluence, Slack, and Google Workspace for cross-team coordination.
- Ability to quickly evaluate new technologies, build proofs of concept, and contribute to technical decision-making in a fast-paced, experimental environment.
Core Competencies:
- Innovation and Experimentation: Enthusiasm for testing new ideas and building proofs of concept. Ability to translate emerging technologies into tangible outcomes.
- Technical Proficiency: Deep understanding of cloud platforms and AI tools. Commitment to ongoing technical growth and experimentation.
- Problem-Solving: Analytical thinking to assess ambiguous challenges. Creativity in designing practical, scalable solutions.
- Cross-Functional Communication: Ability to explain technical concepts clearly to non-technical stakeholders. Skilled at facilitating alignment across departments.
- Autonomy and Initiative: Self-starter who takes ownership of tasks without needing constant direction. Proactive in driving progress and removing blockers.
- Adaptability: Flexibility in switching between tasks, technologies, and project types. Willingness to learn quickly in evolving environments.
- Execution and Delivery: Strong follow-through on project commitments. Ability to balance quality, speed, and priorities across multiple workstreams.
- Cloud and AI Fluency: Comfort navigating cloud services and AI/ML platforms. Ability to integrate tools like Vertex AI, LangChain, and LLM APIs effectively.
- Curiosity and Continuous Learning: Passion for staying ahead of trends and technologies. Interest in applying new knowledge to solve business problems.
- Attention to Detail: Precision in code, documentation, and architecture. Focus on building secure, maintainable, and reliable solutions.
Education and Qualifications:
- Experience: Minimum of 2 years of experience in engineering roles involving cloud technologies
- Licenses and Certifications: GCP and/or AWS certifications are a plus
Physical & Mental Qualifications:
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the role.
- All positions require the ability to work on a computer for extended periods, including typing, using a mouse, and viewing a monitor throughout an eight (8)- hour workday. Employees must be able to sit and/or stand for prolonged periods, as needed to perform their duties.
- Positions may involve infrequent lifting of items, such as laptops or related equipment. Walking requirements are limited to normal travel or commute needs as outlined in this section.
- All roles require effective communication, including speaking on the phone and collaborating with team members, clients, vendors, and other business partners. Employees must be able to focus on multiple tasks and project requirements throughout the workday. Most positions may require occasional travel.
Home Office Requirements
- A minimum internet speed of 25 Mbps for downloads and 1.5 Mbps for uploads is required.
- A private Wi-Fi network with a strong, unique password is necessary to access company data or systems.
- The company provides a monthly internet stipend. New hires must complete a speed test during onboarding and update any default router passwords to ensure secure network access.
Why Join Us?
Innovative & Impactful Work – Your contributions will shape healthcare technology and improve patient outcomes.
Global Reach & Growth Opportunities – Work on high-level AI projects for the US and UK healthcare markets from the comfort of your home in Ireland.
Collaborative & Dynamic Culture – Join a supportive team environment that values knowledge-sharing, mentorship, and career development.
Compliant Irish Contract: You’ll receive a contract that adheres to all Irish statutory requirements (Sick Pay, Maternity/Paternity leave, etc.).
Local Payroll: Get paid in EUR directly into your Irish bank account with all PRSI and USC contributions handled correctly.
Competitive salary and benefits package, we offer a competitive salary and a comprehensive benefits package delivered through a local partner, ensuring you receive all local statutory protections and market-leading perks:
- Pension & Retirement: Fully compliant with Ireland’s 2026 "My Future Fund" (Auto-Enrolment) scheme, including employer-matched contributions to secure your financial future.
- Work-Life Balance:
- Annual Leave: 20 days of paid vacation plus the 10 Irish Public Holidays.
- Family Leave: Statutory Maternity, Paternity, and Parents’ Leave protections.
- Remote Work Stipend: Monthly allowance for high-speed internet and home office costs.
- Professional Growth: Annual budget for certifications (GCP/AWS) and attendance at leading AI/Tech conferences.
Ready to Apply?
If you’re excited about shaping the future of healthcare IT and building next-gen AI solutions, we’d love to hear from you. We value your time and aim for a transparent, efficient hiring process.
Our Process:
- Initial Screening: A 30-minute introductory call with our recruitment team.
- Technical Discussion: A deep dive into your AI/Cloud experience with our Engineering leads. This can be up to 2 sessions.
- Final Interview: A culture-fit and strategic alignment session.
How to Start? Click the "Apply" button to submit your CV. Alternatively, if you have questions, reach out to our team at [email protected] for a confidential chat.
Note: By applying, you agree that your data will be processed in accordance with our Privacy Policy and GDPR requirements. Ready Computing is an equal opportunity employer committed to a diverse and inclusive workplace.
