(EG0072) Senior AI Engineer (Full Stack)

Join   Nortal   for your next big adventure. We are   seeking   an   AI Engineer to design and deliver innovative AI-powered solutions that drive meaningful business impact. Why join   Nortal • Say Goodbye to Micromanagement:   We   champion   autonomy, open communication, and respect for diversity as our core values. • Outcomes Over Hours:   We believe in a work model focused on impact, providing you with the flexibility to balance your professional success with your personal well-being. • Vibrant Community:   Join our close-knit LATAM remote team and connect through tech talks, virtual coffee breaks, and team-building activities. • Support from Day One:   Our People Care team is here to support you throughout your journey, from wellness check-ins to professional growth. Our benefits   ✨ • Competitive USD salary. • 100% remote work:   While you can work from anywhere, you’re always welcome to connect with teammates and grow your network at our coworking spaces across LATAM. • Paid   off   &   national   holidays:   Take   the   time   you   need   according   to   your   country’s   regulations   while   receiving   your   full   salary. • Sick leave:   Focus on your health without   stress. Take the necessary time to recover and feel better. • Annual   credit:   Spend   it   on   the   perks   you   love   to   enhance   your   work-life   balance. • Team-building activities:   Join us for coffee breaks, tech talks, and after-work gatherings to bond with your   Nortal   family and feel part of our vibrant community. • Birthday off:   Enjoy an extra day off during your birthday week to celebrate in style with friends and family. About the project As an AI Engineer y ou’ll take early-stage ideas and rapidly transform them into production-grade applications that empower teams across a global organization. Also , you will architect and develop the Intelligence and Integration Layers that connect autonomous AI agents directly with enterprise systems and infrastructure. What   you’ll   do • Ship End-to-End AI Products: Transform ambiguous business challenges into functional, scalable, and high-performing AI features, applications, and standalone tools. • Build Persistent & Compliant Memory: Design and implement AI memory architectures and vector stores (such as Pinecone and Pgvector) that preserve contextual information while ensuring compliance with data retention, privacy, and deletion policies. • Unify Fragmented Enterprise Data: Develop data pipelines and entity-resolution logic to integrate information across CRM, ERP, CPQ, and marketing platforms (such as Salesforce, SAP, and BigQuery), creating reliable, unified data sources that AI agents can leverage. • Identify High-Value Use Cases: Collaborate directly with business units to understand workflows, identify opportunities for AI-driven improvements, and prioritize use cases that demonstrate measurable value. • Drive Adoption: Partner with stakeholders throughout development and implementation, ensuring solutions address business needs and are successfully adopted by end users. • Close the Feedback Loop: Gather and communicate insights from real-world deployments to help engineering and platform teams understand model performance, limitations, and opportunities for improvement. • Implement EvalOps & Safety Guardrails: Build continuous evaluation pipelines to assess AI models for hallucinations, prompt injections, data leakage, and performance regressions before production deployment. • Optimize Cost & Latency: Implement semantic caching, intelligent model routing, and inference optimization strategies to reduce response times and operational costs while maintaining solution quality. What makes you a great fit   • 5–7+ years of Software Engineering Expe