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Updated 2026-06-30 15:00 UTC·© 2025–2026 RoleSuite
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AI Engineer Specialist

Jobgether · Brazil

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Engineer Specialist based in Brazil.

This role is centered on designing and building advanced AI-driven solutions that directly support the digital transformation of a global organization in the energy sector. You will work on the development of a corporate AI platform, leveraging Generative AI, Large Language Models, and intelligent agents to automate and enhance complex business processes. The position requires strong engineering expertise combined with hands-on experience in AI solution architecture and backend development. You will collaborate closely with multidisciplinary teams to design scalable, secure, and high-performance systems. This is a highly technical and strategic role where you will act as a key reference point for AI engineering practices. It is ideal for professionals passionate about building production-grade AI systems with real business impact in an innovation-driven environment.

Accountabilities:

  • Design, develop, and evolve AI-powered solutions using Generative AI and Large Language Models to support enterprise-scale use cases.
  • Build and maintain intelligent agents and multi-agent workflows using modern frameworks and architectural patterns.
  • Develop backend services and APIs to integrate AI capabilities into corporate systems and business platforms.
  • Contribute to architectural decisions, engineering standards, and best practices for the evolution of the AI platform.
  • Implement solutions based on RAG (Retrieval-Augmented Generation), prompt engineering techniques, and model evaluation strategies.
  • Ensure scalability, security, observability, and performance of AI-driven applications in production environments.
  • Collaborate with cross-functional teams and stakeholders to translate business needs into technical AI solutions.
  • Support the team in solving complex technical challenges and adopting emerging AI technologies.
  • Requirements:

    • Strong experience with Python for backend development and production-grade software engineering.
    • Solid hands-on experience building Generative AI solutions and working with Large Language Models.
    • Proficiency with agent frameworks such as LangChain, LangGraph, or similar technologies.
    • Experience implementing RAG systems, prompt engineering techniques, and LLM-based applications.
    • Strong knowledge of FastAPI or equivalent frameworks for API development.
    • Experience with microservices architecture, REST APIs, and system integration.
    • Familiarity with relational and NoSQL databases.
    • Experience with Docker, Kubernetes, and cloud environments, preferably Azure.
    • Strong understanding of CI/CD pipelines and Git-based development workflows.
    • Analytical thinking, strong communication skills, and ability to work collaboratively in technical teams.
    • Experience with observability tools and production system monitoring is a plus.
    • Benefits:

      • Comprehensive health and dental insurance.
      • Meal and food allowance.
      • Childcare assistance.
      • Extended parental leave.
      • Wellness and fitness partnerships (Wellhub/Gympass, TotalPass).
      • Profit-sharing program (PLR).
      • Life insurance coverage.
      • Continuous learning platform and internal academy.
      • Discounts and exclusive employee programs.
      • Language learning and online education platforms.
      • Mental, physical, and well-being support programs.
      • Additional benefits and learning initiatives depending on eligibility.

AI Engineering pay context

Based on 575 disclosed AI Engineering salaries on RoleSuite, the role pays a median of $203K/year, with most offers between $164K and $237K (10th–90th percentile: $127K–$275K).

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