(1609) Senior AI Engineer

JoinNortalfor your next big adventure. We areseekingan AI Engineer to design and deliver innovative AI-powered solutions that drive meaningful business impact. Why join Nortal 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. 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. Paidoff&nationalholidays:Takethetimeyouneedaccordingtoyourcountry’sregulationswhilereceivingyourfullsalary. Sick leave:Focus on your health withoutstress. Take the necessary time to recover and feel better. Annualcredit:Spenditontheperksyoulovetoenhanceyourwork-lifebalance. Team-building activities:Join us for coffee breaks, tech talks, and after-work gatherings to bond with yourNortalfamily 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 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. 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 Optimizat