14 AI Engineer jobs in Ireland available for remote work from home. Apply for positions such as Forward Deployed AI Engineer (Senior/Principal Level), Senior Software Engineer, AI Enablement, Senior AI Engineer and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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You will build and prototype full-stack AI/ML applications while partnering with strategic customers to drive AI use cases from prototype to production. Additionally, you will shape enterprise AI architecture and codify successful solution patterns into repeatable reference architectures.
Design, build, and operate production services that enable AI agents to interact with real-world systems like email, payments, and web browsing. Collaborate with product and engineering teams to define reliable interfaces and workflows for agent tool use.
Design and ship end-to-end AI agent systems while building robust evaluation frameworks from scratch. Set the technical direction for AI initiatives and collaborate across pods to identify new opportunities for leverage.
Design and develop production-grade AI and NLP solutions to automate complex regulatory compliance tasks. Lead the transition of ML models from proof-of-concept to scalable production infrastructure while ensuring ethical standards and explainability.
Own and scale the agent layer and matching engine for an AI-first fundraising platform. This includes building conversational agents for investor outreach and managing the backend data pipelines.
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Own the conversation layer of an AI fundraising platform, managing agents that handle replies, booking, and relationship nurture. Build broader applied-AI features including classification, extraction, and the evaluation framework to ensure quality.
Lead the transition of the card operations AI agent from internal pilot to a production-grade system. Expand agent capabilities into accounting automation and policy enablement while ensuring reliability, safety, and cost-efficiency.
The Staff Backend Engineer will shape and scale the core infrastructure behind GitLab CI, focusing on integrating AI into CI/CD workflows to enhance performance, reliability, and usability for millions of jobs. This involves defining success metrics for AI agents, building necessary instrumentation, and hardening the underlying CI pipeline execution infrastructure.
The Senior Software Engineer will evaluate, build, and apply tools in modernization projects, facilitating their usage across different project teams. They will also work closely with Product and Engineering teams to influence the MongoDB product roadmap.
You will lead and execute core 0-to-1 initiatives in Applied AI, translating strategic vision into concrete execution roadmaps. You will architect scalable solutions and drive rapid implementation from prototype to production.
Train and evaluate next-generation Large Language Models by auditing model logic, code, and reasoning. Provide high-quality human feedback to refine RLHF frameworks and benchmark model performance.
Train and evaluate next-generation Large Language Models by auditing technical logic and refining RLHF frameworks. Validate ML-specific code and benchmark model performance against technical taxonomies.
The main task involves designing and building applications using Python, which includes supporting component design, development, maintenance, and taking responsibility for technical quality standards. Responsibilities may also cover defining structured practices, designing data storage solutions, optimizing performance, and collaborating with clients to translate requirements into digital products.
Architect and build a toolchain that integrates traditional automation with AI-native agentic workflows to drive company-wide IT transformation. Mentor teams on automation practices and scale the platform to enable self-sustaining cultural change across the organization.
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