AI Engineer & Support Lead

BrazilRemoteFull-timelead

Machine Learning EngineerData

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Quick Summary

Requirements Summary

Bachelor's degree in Computer Science, Engineering, or a related f

Technical Tools

Machine Learning EngineerData

This role offers the opportunity to take ownership of enterprise AI platforms and help drive AI adoption across a distributed, international organization. You will combine hands-on AI engineering with platform support, ensuring teams can effectively use approved AI tools and internal solutions. From building intelligent agents and Slackbots to developing integrations that connect AI platforms with business workflows, your work will have a direct impact on productivity and innovation. You will also oversee platform reliability, user support, and the delivery of new AI use cases. The environment values autonomy, practical problem-solving, and technical ownership, with opportunities to collaborate across a remote LATAM team and support US-based clients.

Act as the primary support owner for enterprise AI platforms, including Langdock, Gemini, and internal tools, managing user onboarding, troubleshooting, and vendor escalations.
Monitor platform health, usage, and adoption, ensuring AI tools remain reliable and effective for business teams.
Maintain up-to-date technical documentation, support processes, and operational runbooks.
Design, build, and maintain custom integrations, Slackbots, and AI agents that connect enterprise AI tools with internal content, systems, and workflows.
Ensure solutions are production-ready by incorporating monitoring, evaluation, and reliability practices into development and deployment.
Manage incoming AI use-case requests by assessing requirements, defining scope, prioritizing initiatives, and directing each request to the most appropriate platform or solution.
Communicate progress, priorities, and technical decisions clearly to stakeholders throughout the delivery process.
Balance day-to-day platform support with hands-on engineering and continuous improvements, taking ownership of tasks from initial request through implementation and operation.

Requirements

~1 min read

Bachelor's degree in Computer Science, Engineering, or a related field.
Practical experience building LLM-powered applications, AI agents, and retrieval-augmented generation (RAG) or knowledge-base systems.
Strong understanding of prompt design, tool/function calling, and API integrations.
Advanced hands-on experience with Claude Code or equivalent agentic coding tools, demonstrated through real-world solutions delivered to production.
Strong software engineering skills using Python and/or JavaScript/TypeScript.
Experience working with REST APIs, cloud services, and webhooks.
Proven experience developing and operating Slack applications or bots, including familiarity with the Slack API, event subscriptions, and bot deployment.
Excellent project management, organizational, and communication skills, with the ability to serve as a reliable first point of contact for users while handling complex technical work.
Ability to work independently, prioritize a varied workload involving both support requests and engineering projects, and maintain clear documentation.
Advanced English proficiency is mandatory, as the role involves working directly with US-based clients and requires confident professional communication.