(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 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 experience designing, developing, and deploying AI-powered applications using LLM APIs, RAG pipelines, and agentic workflows in production environments.

• 3+ years of Data Engineering & ETL Experience: Proven experience building data pipelines and integrating enterprise systems, including CRM, ERP, CPQ, or marketing platforms. Strong knowledge of data transformation, entity resolution, schema design, and data quality.

• 3+ years of Python or Equivalent Backend Development: Strong programming skills with the ability to independently develop, integrate, and maintain production-grade AI applications.

• 1–2+ years of Vector Database & AI Memory Experience: Practical experience with Pinecone, Pgvector, or equivalent technologies for semantic search, contextual retrieval, and persistent AI memory.

• 1–2+ years of AI Frameworks & Orchestration: Hands-on experience using LangChain, LlamaIndex, or equivalent frameworks to develop RAG systems and agentic AI workflows.

• 1+ year of AI Evaluation & Safety Experience: Knowledge of AI evaluation pipelines, hallucination detection, prompt injection mitigation, data leakage prevention, and model safety guardrails.

• 1+ year of AI Performance Optimization: Experience implementing semantic caching, intelligent model routing, inference cost optimization, and latency reduction strategies.

• 2+ years of Cloud Experience: Hands-on experience deploying and maintaining applications using AWS, Azure, or GCP.

• 2+ years of Stakeholder-Facing Technical Delivery: Experience collaborating with business and engineering teams to identify requirements, develop solutions, and support production adoption.

Global Impact, Local Culture   🌍

For over 25 years,   we’ve   been shaping digital transformation, delivering complex solutions for global enterprises and public sector organizations. Today, we are at the forefront of an AI-driven transformation era, helping organizations turn data into   real business   value. By combining deep doma…