# (1609) Senior AI Engineer (Full Stack) at Nortal

> Remote · Latin America · Senior · Full-stack · open. Source: https://alderhq.app/jobs/greenhouse%3Anortal%3A5268685007 (read 2026-11-13).

## Facts (observed)

- Company: [Nortal](https://alderhq.app/companies/nortal)
- Location text: Latin America - Remote; Latin America - Remote
- Where it can be done from (inferred): Remote · Latin America (evidence: "Remote role open worldwide")
- Posted: 2026-11-03 (9 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-07
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/nortal/jobs/5268685007
- Skills listed (inferred): LLMs, Distributed systems

## Pay and sponsorship

- Posted pay: not posted

## Description (the employer's text)

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 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.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Anortal%3A5268685007 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.