Senior AI Engineer – Full Stack

🕒 Yesterday

💃 Latin America – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

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Nortal

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Nortal is a strategic partner specializing in transformation services for governments, healthcare institutions, and businesses. With over 25 years of experience, Nortal employs a unique seamless methodology to deliver world-class digital solutions that enhance efficiency and user experiences. They focus on tackling complex challenges across various industries, including public sector, healthcare, financial services, and telecommunications, ensuring that clients can successfully navigate the demands of a rapidly evolving economic landscape.

📋 Description

• Design and deliver innovative AI-powered solutions that drive business impact • Transform early-stage ideas into production-grade applications for teams across a global organization • Architect and develop intelligence and integration layers connecting autonomous AI agents with enterprise systems and infrastructure • Transform ambiguous business challenges into scalable, high-performing AI features, applications, and standalone tools • Design and implement AI memory architectures and vector stores such as Pinecone and Pgvector • Ensure AI memory solutions comply with data retention, privacy, and deletion policies • Develop data pipelines and entity-resolution logic integrating CRM, ERP, CPQ, and marketing platforms such as Salesforce, SAP, and BigQuery • Collaborate with business units to identify and prioritize high-value AI use cases • Partner with stakeholders throughout development and implementation to drive end-user adoption • Gather deployment insights on model performance, limitations, and improvement opportunities • Build continuous EvalOps pipelines for hallucination, prompt-injection, data-leakage, and regression testing • Implement safety guardrails for AI systems • Optimize response latency and operational costs through semantic caching, intelligent model routing, and inference optimization

🎯 Requirements

• 5–7+ years of software engineering experience • Strong foundation in backend development, distributed systems, asynchronous programming, API design, microservices, and database management • 2+ years of production AI/LLM experience • Experience designing, developing, and deploying AI-powered applications using LLM APIs, RAG pipelines, and agentic workflows in production environments • 3+ years of data engineering and ETL experience • Experience building data pipelines and integrating CRM, ERP, CPQ, or marketing platforms • Knowledge of data transformation, entity resolution, schema design, and data quality • 3+ years of Python or equivalent backend development • 1–2+ years of vector database and AI memory experience, including Pinecone, Pgvector, or equivalent • 1–2+ years of AI frameworks and orchestration experience, including LangChain, LlamaIndex, or equivalent • 1+ year of AI evaluation and safety experience • Knowledge of hallucination detection, prompt injection mitigation, data leakage prevention, and model safety guardrails • 1+ year of AI performance optimization experience • Experience with semantic caching, intelligent model routing, inference cost optimization, and latency reduction • 2+ years of cloud experience with AWS, Azure, or GCP • 2+ years of stakeholder-facing technical delivery experience • Experience collaborating with business and engineering teams to identify requirements, develop solutions, and support production adoption

🏖️ Benefits

• Competitive USD salary • 100% remote work • Access to coworking spaces across LATAM • Paid time off and national holidays according to the employee’s country regulations, with full salary • Sick leave • Annual credit for work-life balance perks • Team-building activities, coffee breaks, tech talks, and after-work gatherings • Birthday week day off • Wellness check-ins and professional growth support • Flexible work model focused on impact and personal well-being

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