Forward Deployed Engineer

🔥 0 minutes ago

💃 Latin America – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ 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

• Embed with business units across Content, Finance, Legal, Communications, Commercial Business, and other departments • Identify high-value AI use cases and prioritize opportunities with measurable business impact • Rapidly prototype, design, develop, and deploy full-stack AI solutions • Own the process from discovery through production adoption • Integrate AI solutions with enterprise data, APIs, internal platforms, third-party APIs, and business systems • Navigate complex integrations, incomplete documentation, and access constraints • Work directly with stakeholders to understand needs, support implementation, and drive adoption • Balance scope, speed, and quality through strategic trade-offs and priority adjustments • Contribute hands-on to development and troubleshooting • Transform successful implementations into reusable tools, frameworks, playbooks, and building blocks • Provide actionable feedback to engineering and platform teams on model strengths, limitations, and improvement opportunities • Turn lessons learned into platform improvements and repeatable solutions for other business units

🎯 Requirements

• 5+ years of software engineering experience, including frontend, backend, API development, and system architecture • 2+ years of production AI experience building and deploying AI-powered applications using LLMs, RAG pipelines, and agentic workflows • 3+ years of stakeholder-facing technical delivery experience, including requirements gathering, use-case identification, and end-to-end technical solution delivery • 3+ years of Python and/or JavaScript experience • 2+ years of API and enterprise systems integration experience • 2+ years of cloud experience deploying and maintaining applications using AWS, Azure, or GCP • 1–2+ years of experience with AI frameworks and vector search, including LangChain, LlamaIndex, vector databases, or equivalent technologies • 2+ years of end-to-end technical ownership experience • Strong systems thinking, engineering fundamentals, and product mindset • Ability to deliver solutions quickly • Ability to transform ambiguous business challenges into scalable, production-ready solutions while balancing technical execution, business priorities, and user adoption

🏖️ Benefits

• Competitive USD salary • 100% remote work; ability to work from anywhere, with access to coworking spaces across LATAM • Paid off and national holidays according to the employee’s country’s 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 from the People Care team • Flexible work model focused on outcomes and personal well-being

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