Full-Stack Developer, Mid-Level

Addvisor Group

Desenvolvedor Fullstack Pleno criando software .NET e React com IA generativa. Especificando, testando e validando código e fluxos agentivos com apoio de LLMs.

Posted 8/25/2026full-timeRemote • 🇧🇷 BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in full-stack software development using .NET and React, with a strong focus on Spec-Driven Development and Context Engineering for LLMs. Proficient in writing high-quality, testable code and applying generative AI tools responsibly within agile frameworks.

Highest-signal resume keywords

Full-Stack Software DevelopmentSpec-Driven DevelopmentContext EngineeringAutomated TestingAgile Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

.NETReactSQLObject-Oriented ProgrammingGenerative AICode EvaluationTestable CodeData ModelingAutomated Unit TestingIntegration Testing

Soft Skills

Critical JudgmentCollaboration

Tools & Technologies

GitPull Requests

Industry Keywords

AgileScrumKanbanXPLLMs

Tech Stack

Tools & technologies

.NETPythonReactSQL

About the role

Key responsibilities & impact

Develop full-stack software using .NET and React.
Write unambiguous specifications, break requirements down into verifiable plans, and define acceptance criteria.
Build and manage context for LLMs, including instructions, constraints, examples, tools/MCPs, and context-window management.
Apply generative AI and agentic tools to software development, with systematic human validation.
Evaluate, validate, and correct AI-generated code and code developed by third parties.
Create high-quality, well-organized, and testable code.
Develop and maintain automated unit and/or integration tests.
Use Git and collaborate through Pull Requests.
Work with SQL databases, data modeling, and agile practices.

Requirements

What you’ll need

At least 3 years of software development experience, with strong proficiency in at least one of the stacks (.NET and React) and a proven ability to work across the others with AI assistance.
Spec-Driven Development as a core competency: write unambiguous specifications, break them down into verifiable plans, and define acceptance criteria that serve as a contract for humans and agents (e.g., /specify, /plan).
Context Engineering: build and manage context for LLMs—including instructions, constraints, examples, tool/MCP selection, and context-window control.
Apply generative AI and agentic tools to software development with responsibility, critical judgment, and systematic human validation.
Critically review code you did not write: evaluate, validate, and correct AI-generated and third-party output with the same rigor applied to your own code.
Ability to write high-quality, well-organized, and testable code, with proficiency in object-oriented programming and/or sound design principles.
Experience with automated testing (unit and/or integration).
Use Git for version control and collaboration through Pull Requests.
Experience with SQL databases and data modeling fundamentals.
Experience with agile practices (Scrum, Kanban, or XP).
Knowledge of Python.

Benefits

Comp & perks

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