Senior AI Product Engineer - Enterprise Agents (Remote)
Jobgether
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Benefits offered by this job
Job summary
Jobgether in Ireland seeks a Staff AI Product Engineer to lead the architecture and technical direction of production-grade agentic systems for enterprise operations. You will own MCP integrations, unified data infrastructure, contextual memory, and evaluation frameworks while collaborating with leadership and customers to shape the AI roadmap.
This fully remote role offers cross-continent opportunities in a fast-moving startup environment that rewards ownership and practical AI delivery.
Qualifications
- 7+ years of full-stack software development experience in a B2B SaaS environment.
- Hands-on experience designing and deploying production-grade multi-agent systems.
- Experience building and maintaining MCP servers or integrations used in production environments.
- Strong understanding of production engineering principles, including reliability, observability, security, permissions, and safe workflow execution.
- Experience combining product thinking with technical leadership, including defining scope and influencing roadmaps.
- Knowledge of ERP/CRM or supply chain domains is a plus.
Responsibilities
- Lead architecture and development of a production-grade multi-agent system.
- Own MCP integrations connecting internal business tools with AI environments.
- Design centralized data infrastructure for AI agents and external tools.
- Develop contextual memory and customer profiling systems.
- Establish reliability, observability, permission management, and safe execution mechanisms.
- Create evaluation frameworks and automated tests for agent performance.
- Define engineering standards and best practices for agentic systems.
- Prototype new AI capabilities and present technical concepts to teams and customers.
- Mentor engineers and influence engineering direction while delivering outcomes.
Skills
Tools
Job description
Jobgether in Ireland seeks a Staff AI Product Engineer to lead the architecture and technical direction of production-grade agentic systems for enterprise operations. You will own MCP integrations, unified data infrastructure, contextual memory, and evaluation frameworks while collaborating with leadership and customers to shape the AI roadmap.
This fully remote role offers cross-continent opportunities in a fast-moving startup environment that rewards ownership and practical AI delivery.
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