Addvisor Group
Addvisor Group
201 – 500 Employees
ConsultingMarketingSaaS
Addvisor Group is a Brazilian enterprise software and consulting company serving medium and large businesses with fiscal and business-process automation. Its SaaS products, AddTax and SmartDocx, help organizations capture, orchestrate, and manage fiscal documents such as NF-e, NFS-e, CT-e, and MDF-e, with native SAP ECC and S/4HANA integrations and APIs for other ERP systems. Addvisor also provides ERP selection, SAP implementation, and related consulting services, supporting tax compliance across Brazilian municipalities and international operations while helping companies improve financial efficiency and reduce process costs and compliance exposure.

Mid-Level Full-Stack Developer (.NET, React, and Generative AI)

Mid-level full-stack developer role focused on .NET, React, and generative AI. Define, test, and validate software and LLM-powered agent workflows.

Description

  • Build full-stack software at a mid-level scope
  • Work mainly with .NET and React, using AI to support work across both technologies
  • Create precise specifications, divide plans into verifiable steps, and define acceptance criteria for people and agents
  • Develop and maintain LLM context, including instructions, constraints, examples, tools or MCPs, and context-window usage
  • Use generative AI and agent-based tools in software development with structured human review
  • Assess, verify, and improve code created by AI systems and external contributors
  • Produce organized, reliable, and testable code
  • Create and maintain automated test suites
  • Collaborate through Git and pull requests
  • Work with SQL databases, data models, and agile development methods

Requirements

  • At least three years of professional software development experience
  • Strong proficiency in either .NET or React, with the ability to work across both using AI support
  • Core competence in Spec-Driven Development, including writing precise specifications, creating verifiable implementation plans, and defining acceptance criteria for people and agents
  • Experience engineering LLM context through instructions, constraints, examples, tool or MCP selection, and context-window management
  • Experience using generative AI and agent-based development tools with sound judgment, accountability, and consistent human review
  • Ability to thoroughly assess and correct AI-generated or third-party code
  • Ability to produce high-quality, well-structured, testable code with strong object-oriented programming and/or software design principles
  • Experience with automated unit and/or integration testing
  • Experience with Git version control and pull-request collaboration
  • Experience with SQL databases and foundational data modeling
  • Experience with agile methods such as Scrum, Kanban, or XP
  • Knowledge of Python
  • Practical experience orchestrating agents and using MCPs or connectors is a plus
  • Familiarity with evaluating and observing AI output, tracking quality, regressions, and token costs, and using model-agnostic architectures is a plus
  • Experience with distributed systems, microservices, or messaging is a plus
  • Experience with CI/CD and automated build and release processes is a plus
  • Knowledge of cloud technologies and/or containers, including Docker and Kubernetes, is a plus

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