EGSenior AI Engineer; Full Stack

Join Nortalfor your next big adventure. We areseekinganAI Engineer to design and deliver innovative AI-powered solutions that drive meaningful business impact.

• Say Goodbye to Micromanagement:
  
  Wechampionautonomy, 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.

• 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.
• Paidoff&nationalholidays:
  
  Takethetimeyouneedaccordingtoyourcountry’sregulationswhilereceivingyourfullsalary.
• Sick leave:
  
  Focus on your health without stress. Take the necessary time to recover and feel better.
• Annualcredit:
  
  Spenditontheperksyoulovetoenhanceyourwork-life balance.
• Team-building activities:
  
  Join us for coffee breaks, tech talks, and after-work gatherings to bond with your Nortalfamily 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.

As an AI Engineer you’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.

• 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 Big Query), 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 Eval Ops & 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.

• 5–7+ years of Software Engineering
  
  Experience:
  
  Strong foundation in backend development, distributed systems, asynchronous programming, API design, microservices, and database managemnt.
• 2+ years of Production AI / LLM
  
  Experience:
  
  Hands-on…