Senior AI Engineer – Full Stack

🔥 2 minutes ago

💃 Latin America – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

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Nortal

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

💼 Consulting

💰 $54.4M Debt Financing - Nortal on 2024-01

Healthcare • Consulting

Nortal is a digital transformation and technology consulting company that partners with governments, healthcare institutions, large enterprises and Fortune 500 companies to design, build and operate mission-critical digital services. The company delivers platform and engineering work across Microsoft, ServiceNow, Salesforce, Adobe and Atlassian ecosystems and provides services including strategy & transformation, cyber resilience, data & artificial intelligence, platform optimization, product & experience, technology & engineering, and IT outsourcing. Nortal operates globally with offices across Europe, the Americas and the Middle East, emphasizes AI-native teams and legacy modernization, and is positioned as a trusted strategic partner for public sector and regulated industries.

📋 Description

• Transform ambiguous business challenges into functional, 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 high-value AI use cases and prioritize measurable opportunities • Partner with stakeholders through development and implementation to drive successful end-user adoption • Gather and communicate insights from real-world deployments about model performance, limitations, and improvement opportunities • Build continuous evaluation pipelines for hallucinations, prompt injections, data leakage, and performance regressions • Implement safety guardrails before production deployment • Optimize response times and operational costs through semantic caching, intelligent model routing, and inference optimization • 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

🎯 Requirements

• 5–7+ years of software engineering experience • 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 • 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; work from anywhere in LATAM, with 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 off • Wellness check-ins and professional growth support from the People Care team • Flexible work model focused on outcomes and personal well-being

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