(1607) AI Engineer & Support Lead

Real ownership from day one, not check-ins and micromanagement. That's what the AI Engineer & Support Lead role at Nortal looks like. What working with us looks like - Remote work with a LATAM team. Coffee breaks, tech talks, and games keep it human, even at a distance. - No micromanagement. We hire for autonomy and expect you to use it. - Support beyond the job. Our People Care team helps with time off, wellness, and anything in between. - Our accounts team handles client relationships, so you focus on the work. What you get - Competitive USD salary. - Full remote work, with coworking spaces across LATAM if you want to meet the team in person. - Paid time off under your country's rules, at full salary. - National holidays. - Sick leave, no stress attached. - A yearly refundable credit. Spend it on anything related to your health and well-being. - A day off for your birthday. About this search Great talent doesn't wait for job postings, so we don't either. We're building a network of skilled professionals for roles that come up regularly with our clients. Join our Future Talent network and you'll be one of the first people we reach when the right opening appears. We make around 160 hires a year, so it happens often. The role As an AI Engineer & Platform Support Lead, you will help us scale AI adoption across the business on a small set of sanctioned platforms. You will be the day-to-day owner of our enterprise AI workspace and support the tools our teams rely on. You will also build and own the custom integrations, agents, and Slackbots that make those tools useful to business teams.

Your day-to-day: - Be the go-to support owner for our AI platforms (Langdock, Gemini, and internal tools), from onboarding and troubleshooting to vendor escalations. - Monitor platform health and adoption, and keep runbooks and documentation current. - Build custom integrations, Slackbots, and agents that connect our AI tools to internal content and workflows. - Make sure what you build is reliable in production, with monitoring and evaluation built in. - Manage incoming AI use-case requests: scope, prioritize, and route each one to the right tool, and keep stakeholders updated along the way. What we're looking for - Bachelor's Degree in Computer Science, Engineering, or a related field. - Hands-on AI engineering: building LLM-powered applications, agents, and RAG/knowledge-base systems; comfort with prompt design, tool/function calling, and API integration. - Power user of Claude Code (or equivalent agentic coding tools) for real, shipped work — not just experimentation. - Strong general engineering: Python and/or JavaScript/TypeScript, REST APIs, working with cloud services and webhooks. - Experience building and operating Slack apps/bots (Slack API, event subscriptions, bot deployment). - Excellent project management and communication — able to be the calm, organized front door for users while also going deep technically. - Proven ability to work independently, prioritize a mixed queue (support + build), and document as you go. - Advanced English Level is required for this role, as you will work with US clients. Effective communication in English is essential to deliver the best solutions to our clients and expand your horizons. How the process works - Apply and upload your resume. - We review your profile and add it to our talent database. - We reach out for an interview to learn about your experience and share more about what we're looking for. - When a role opens that fits, we contact you to start the process. Because we already know you, it moves faster. - No intermediaries. You deal with us directly. About Nortal For over 25 years, we've built the systems that global enterprises and public institutions run on. Today, that means using AI and data to help organizations make better decisions, not just build what they asked for.