AI Developer Specialist

Accountabilities:

• • Analyze the results of AI solutions and identify improvements based on data, performance indicators, and user or project feedback.
  • Design architectures for hybrid AI solutions, integrating different AI tools and technologies according to project requirements.
  • Develop and integrate generative AI solutions, agents, and AI capabilities to address complex technical and business needs.
  • Document implemented solutions, processes, and technical decisions to facilitate knowledge sharing and alignment across teams.
  • Establish and promote best practices for AI observability, monitoring, evaluation, efficiency, and effective use of AI artifacts.
  • Contribute to strategic AI initiatives, innovation projects, and the adoption of emerging technologies.
  • Act as a technical reference for AI development, supporting teams in the adoption of appropriate architectures, tools, and engineering practices.
  • Represent the organization in technical events, forums, conferences, and meetings focused on Artificial Intelligence.
  • Share technical knowledge and contribute to the continuous evolution of AI engineering practices and capabilities.

  Requirements:

  • Strong proficiency in Python for AI development, model integration, and implementation of AI solutions.
  • Advanced experience with generative AI, including the creation of AI Agents and Skills, versioning, and evaluation practices.
  • Hands-on experience integrating and working with agents, RAG, BMAD, APM, Devin, Claude, Copilot, Skills, and other AI development tools.
  • Familiarity with internal or custom AI tooling and workflows, including platforms such as Hybrid Flow and Hive.
  • Strong understanding of AI engineering practices, with a focus on efficiency, reliability, evaluation, and technical best practices.
  • Ability to document complex technical processes clearly and structure knowledge for effective communication and reuse.
  • Strong analytical and problem-solving skills, with the ability to evaluate AI outcomes and translate findings into practical improvements.
  • Experience in technical leadership or active participation in AI conferences, forums, or technical communities is a plus.
  • Experience publishing technical articles or presenting innovations related to Artificial Intelligence is desirable.
  • Experience integrating solutions from multiple vendors or developing customized AI solutions for large organizations is advantageous.
  • Demonstrated experience proposing or implementing AI initiatives that delivered measurable improvements in solution efficiency is a plus.

  Benefits:

  • Remote position based in Brazil.
  • Opportunity to work directly with generative AI, agents, RAG, and emerging AI development technologies.
  • Exposure to hybrid AI architectures and integrations across multiple tools and platforms.
  • Opportunity to contribute to strategic AI initiatives and innovation projects.
  • Technical leadership and knowledge-sharing opportunities within AI-focused initiatives.
  • Participation in AI events, forums, technical discussions, and innovation activities.
  • Opportunity to influence AI engineering best practices, observability, monitoring, evaluation, and efficiency.
  • Continuous professional growth in a technology-focused and collaborative environment.