AI Engineer & Support Lead - Talent Connection

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.