Ready Computing · 1 day ago
AI Engineer - Ireland
United States
Full-time
Remote
Entry, Mid Level
2+ years expReady Computing is a global leader in data-centric IT solutions, expanding their European footprint and seeking a talented AI Engineer to join their remote-first team. The role involves leading technical execution in cloud-native environments and building prototypes that address real-world healthcare challenges.
Information TechnologyProfessional ServicesInformation Services
Responsibilities
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
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
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
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
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
Qualification
Required
Minimum of 2 years of experience in engineering roles involving cloud technologies
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
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
Preferred
GCP and/or AWS certifications are a plus
Benefits
Pension & Retirement: Fully compliant with Ireland’s 2026 "My Future Fund" (Auto-Enrolment) scheme, including employer-matched contributions to secure your financial future.
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.
Annual budget for certifications (GCP/AWS) and attendance at leading AI/Tech conferences.
Company
Ready Computing
Ready Computing is an IT firm, specializing in software development and data exchange solutions.
51-200 employees
H1B Sponsorship
Ready Computing has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
Funding
Current Stage
Growth StageLeadership Team
Michael LaRocca
Founder and CEO
Recent News
Precedence Research
2025-12-04
Company data provided by crunchbase