AI Engineer & Support Lead

Jobgether

Brasil

Remote

BRL 657,000 - 876,000

Full time

35 hours ago
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Benefits offered by this job

Competitive USD salary
Fully remote across LATAM
Coworking access in LATAM
Paid time off per local regulations
Local holidays observed
Sick leave
Annual health/well-being credit
Birthday day off
People Care support team
Collaborative remote environment

Job summary

Jobgether is seeking a remote senior AI platform engineer to own enterprise AI tools across LATAM and US clients. You will build AI agents, Slackbots, and integrations that connect AI platforms with business workflows, while ensuring reliability and scalable adoption.

You will design production-ready solutions, manage use-case requests, and maintain clear documentation. English fluency and independent work style are essential for success.

Qualifications

  • Bachelor's degree in Computer Science, Engineering or related field.
  • Hands-on experience building LLM-powered apps and AI agents.
  • Strong prompt design, tool calling and API integration skills.
  • Hands-on with Claude Code or equivalent agentic coding tools.
  • Strong software skills in Python and/or JavaScript/TypeScript.
  • Experience with REST APIs, cloud services and webhooks.
  • Proven Slack apps/bots experience, including Slack API usage.
  • Excellent project management and clear communication with stakeholders.
  • Ability to work independently with strong documentation.

Responsibilities

  • Own enterprise AI platforms, ensure onboarding, troubleshooting, and escalations.
  • Monitor platform health, usage, and adoption for reliability.
  • Maintain technical docs, processes, and runbooks.
  • Design and maintain integrations, Slackbots, and AI agents across tools.
  • Ensure production readiness with monitoring and reliability practices.
  • Assess and prioritize AI use-case requests and direct to best solution.
  • Communicate progress and decisions to stakeholders throughout delivery.
  • Balance support with hands-on engineering and continuous improvements.

Skills

LLM-powered apps
AI agents
RAG / knowledge bases
Prompt design
Tool calling
API integrations
Python
JavaScript / TypeScript
REST APIs
Cloud services
Slack apps / bots

Education

Bachelor's degree in CS/Engineering

Tools

Claude Code
Slack API

Job description

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.


Accountabilities:
  • 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:
  • 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.

Benefits:
  • Competitive salary paid in USD.

  • Fully remote work arrangement across Latin America.

  • Access to coworking spaces across LATAM for optional in-person collaboration.

  • Paid time off in accordance with the employment regulations of your country, at full salary.

  • National holidays observed according to local regulations.

  • Sick leave.

  • Annual refundable credit for health and well-being-related expenses.

  • A day off for your birthday.

  • Support from a dedicated People Care team for time off, well-being, and other employee needs.

  • A collaborative remote environment with opportunities to participate in coffee breaks, technical talks, and team activities.

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