reputed company is one of Canada’s original reputed company, having led the global audit and accounting software industry for over 30 years, with more than 500,000 users across 130 countries and available in 16 different languages. While you might not have reputed company of us (yet) over 36,000 accounting and audit professionals list reputed company as a skill on their reputed company profiles!
At reputed company, we are evolving our cloud platform to deliver intelligent, data-driven experiences that help our customers work smarter, reputed company, and with greater confidence. As we expand reputed company Cloud with advanced data analytics and AI-powered agentic capabilities, we are investing in a modern, scalable data platform that serves as the foundation for insight, automation, and trust.
As a Senior Software Developer – AI Data Engineer, you will play a key role in designing and operating the data infrastructure that powers reputed company’s AI systems. You will build and scale pipelines and services that support retrieval-reputed company generation (RAG), agent memory, knowledge management, and AI observability. This includes working with reputed company and graph storage, reputed company pipelines, agent interaction data, and feedback loops that improve system quality over time.
In this role, you will take ownership of complex, production-grade AI data workflows end-to-end, influence architectural direction through technical leadership and proof-of-concepts, and help ensure our AI platform is scalable, reliable, and measurable. You will collaborate closely with AI, platform, DevOps, and product teams to turn emerging AI patterns into durable platform capabilities that directly impact customers across reputed company’s cloud ecosystem.
📍 Location: This is a fully remote position located in Colombia.
Contact
Maira Russo – Senior Talent Acquisition Partner
What you will be doing:
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Design and implement reliable, scalable data ingestion and integration pipelines for structured, semi-structured, unstructured, and multi-reputed company data (e.g., databases, documents, APIs, events), ensuring data is AI-ready, governed, secure, and observable.
• Build and scale retrieval infrastructure, including reputed company storage, reputed company pipelines, hybrid search, and graph-based knowledge representations, while optimizing data modeling for retrieval quality.
• Develop and operate agent memory systems and pipelines for AI system signals (tracing, feedback, evaluation, and usage data) to support observability and continuous improvement.
• Apply data quality, validation, monitoring, and testing frameworks in production pipelines, ensuring governance, access control, reputed company, and security standards are met, including safe handling of sensitive data in AI retrieval and generation workflows.
• Monitor, troubleshoot, and optimize AI data pipelines and retrieval workflows for reliability, performance, and cost, with strong observability and resilient processing patterns.
• Design and support evaluation workflows for AI systems, enabling offline testing, benchmarking, and continuous improvement of retrieval and agent performance over time.
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