DOMVS iT
DOMVS iT
51 – 200 Employees
ConsultingEnterpriseHealthcare
DOMVS iT is a Brazilian technology services company founded in 2014, supporting business customers in consulting, healthcare, and enterprise environments. Its work spans IT staffing through Squad as a Service, managed squads, outsourcing, consulting, application management, and cloud and data services. DOMVS iT also provides product design and digital experience support, including Product Discovery and PDaaS, alongside cloud architecture, FinOps, migrations, data masking and virtualization, and enterprise application support such as SAP services. With a team of 51–200 employees, the company serves customers across multiple cities and countries.

Senior AI Engineer, Multi-Agent Systems (Remote Brazil)

Design multi-agent AI systems and AI-augmented delivery workflows while providing technical leadership for enterprise solutions at DOMVS iT.

Description

  • Design AI agent orchestration workflows
  • Assess AI-generated architectural designs across the portfolio
  • Provide technical leadership and strategic direction in software engineering
  • Develop, debug, and maintain production software
  • Design and deliver distributed systems and enterprise-scale applications
  • Balance performance, security, resilience, scalability, and delivery demands
  • Create AI-enhanced Agile workflows and AI governance frameworks
  • Lead the technical direction of a solutions team
  • Track advances in AI coding assistants, AI code review, and multi-agent orchestration

Requirements

  • Demonstrated ability to design AI agent orchestration workflows and AI harnesses and assess AI-generated architectural designs at portfolio scale
  • Advanced knowledge of AI orchestration platforms, multi-agent architecture, context engineering, AI harnesses, and AI capabilities and limitations
  • Significant commercial software engineering experience with a record of technical leadership and strategic influence
  • Strong understanding of software architecture patterns and portfolio-level systems thinking
  • Practical experience developing, debugging, and maintaining production software
  • Experience designing and delivering distributed systems or enterprise-scale applications
  • Experience engineering enterprise non-functional requirements for performance, security, resilience, and scalability
  • Experience creating AI-enhanced Agile delivery workflows and AI governance frameworks
  • Experience with a modern backend language such as Java, Python, or TypeScript/Node.js
  • Experience working with a cloud platform such as AWS
  • Experience using CI/CD tools such as Jenkins or Bitbucket Pipelines
  • Experience with container technologies such as Docker or Kubernetes
  • Broad understanding of the technology stack
  • Practical familiarity with AI coding assistants, AI code review tools, and multi-agent orchesation frameworks
  • Experience establishing quality gates for AI-generated code and portfolio-level automated validation tools
  • Experience as the technical lead for a solutions team
  • Bachelor’s degree or equivalent education in Computer Science, Mathematics, Chemistry, or a related field, or exceptional commercial experience leading system- or portfolio-level technical delivery in place of a degree

Benefits

  • Support to help you achieve professional success
  • A collaborative, innovative working environment

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