Full-Stack Developer

Addvisor Group

. Develop full-stack software in a mid-level position .

Posted 10/9/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong proficiency in .NET and React for full-stack software development, with a focus on Spec-Driven Development and Context Engineering for LLMs. Capable of applying generative AI tools, ensuring high-quality code through automated testing and collaboration using Git.

Highest-signal resume keywords

Full-Stack Software DevelopmentSpec-Driven DevelopmentContext EngineeringGenerative AI ApplicationAutomated Testing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

.NETReactSQLObject-Oriented ProgrammingAutomated TestingAgile PracticesPythonCode EvaluationHigh-Quality Code WritingData Modeling

Tools & Technologies

GitMCPsCI/CDDockerKubernetes

Industry Keywords

Generative AILLMsMicroservicesDistributed ArchitecturesScrumKanbanXP

Tech Stack

Tools & technologies

DockerKubernetesPythonReactSQL.NET

About the role

Key responsibilities & impact

Develop full-stack software in a mid-level position
Work primarily with .NET and React, moving between them with the support of AI
Write unambiguous specifications, break plans down into verifiable steps, and define acceptance criteria for both humans and agents
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 code produced by AI and third parties
Write well-organized, testable, high-quality code
Develop and maintain automated tests
Collaborate using Git and pull requests
Work with SQL databases, data modeling, and agile practices

Requirements

What you’ll need

At least 3 years of software development experience
Strong proficiency in at least one of the stacks (.NET and React), with demonstrated ability to work across the others with the support of AI
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 management
Experience applying generative AI and agentic tools to software development, with responsibility, critical judgment, and systematic human validation
Critical ability to read code you did not write: evaluate, validate, and correct AI-generated and third-party output with the same depth applied to your own code
Ability to write high-quality, well-organized, and testable code, with strong knowledge of object-oriented programming and/or sound design principles
Experience with automated testing (unit and/or integration testing)
Experience using Git for version control and collaborating through pull requests
Experience with SQL databases and data-modeling fundamentals
Experience with agile practices (Scrum, Kanban, or XP)
Knowledge of Python
Practical experience orchestrating agents and working with MCPs/connectors (a plus)
Familiarity with evaluating and observing AI output, measuring quality, tracking regressions and token costs, and working with model-agnostic architectures (a plus)
Experience with distributed architectures, microservices, or messaging (a plus)
Experience with CI/CD and build and release automation (a plus)
Knowledge of cloud technologies and/or containers, including Docker and Kubernetes (a plus)