(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

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

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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 domain expertise with data and AI, we design solutions that create immediate impact while scaling for the future.

We believe complexity doesn’t have to mean complicated, and that the best solutions are those that work in the real world, not just on paper.

That’s why our clients trust us with their most ambitious, business-critical initiatives.

Apply now and let’s shape the future of technology together!

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