AI Developer PL/SR (.NET + AWS) in Brazil, Indiana at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Developer PL/SR (.NET + AWS) based in Brazil.

We are looking for an AI-focused Software Developer to build innovative solutions by combining strong backend engineering skills with advanced artificial intelligence capabilities.
This role is designed for professionals who actively use AI as part of their daily development workflow, creating intelligent automations, agents, and scalable software solutions.
You will contribute to projects in a dynamic environment where engineering excellence and AI-driven development practices come together.
The position requires the ability to design, develop, test, deploy, and operate applications while leveraging AI tools to improve productivity and quality.
You will work with modern cloud technologies, distributed architectures, and automation workflows that solve complex business challenges.
This is an opportunity for developers who want to shape the future of software engineering through the practical application of AI.

As an AI Developer, you will be responsible for designing and delivering software solutions enhanced by artificial intelligence, ensuring technical quality, scalability, and operational excellence throughout the development lifecycle.

• Participate in the full software development lifecycle, including design, development, testing, deployment, and operations with AI support.
• Develop backend solutions using .NET, REST APIs, and microservices architectures.
• Build and maintain AI-powered automations and agents capable of executing complex, multi-step tasks.
• Create effective AI inputs, prompts, and specifications to guide and control generated solutions.
• Integrate AI capabilities with engineering tools such as Git, CI/CD pipelines, observability platforms, and issue tracking systems.
• Evaluate AI-generated outputs to ensure quality, security, consistency, and alignment with business requirements.
• Understand and validate the architecture behind AI-generated solutions rather than only operating AI tools.
• Design reusable AI skills and compose intelligent capabilities for different use cases.
• Build integrations using MCP (Model Context Protocol) or equivalent technologies.
• Support workflow orchestration involving multi-agent systems or human-agent collaboration.
• Contribute to continuous improvement of engineering practices through AI-driven methodologies.

The ideal candidate has strong software engineering experience, cloud expertise, and a passion for applying artificial intelligence to improve development processes and create scalable solutions.

• Professional experience developing backend applications with .NET, including REST APIs and microservices.
• Strong knowledge of AWS cloud services such as S3, EC2, Lambda, SQS, DynamoDB, and related technologies.
• Experience with messaging systems and asynchronous processing using technologies such as Kafka, SQS, or event-driven architectures.
• Experience working with relational and non-relational databases.
• Knowledge of distributed systems architecture, including domain-driven design (DDD), scalability, resilience, and decoupling patterns.
• Strong understanding of software quality practices, including unit testing, integration testing, and engineering best practices.
• Experience applying AI development methodologies such as SDD, AI-DLC, or similar approaches.
• Advanced usage of AI tools for software development, including code generation, testing, refactoring, and debugging.
• Experience creating and managing AI agents with planning, execution, and tool usage capabilities.
• Experience integrating AI workflows with development environments and engineering platforms.
• Ability to critically evaluate AI-generated solutions from a technical, security, and quality perspective.
• Strong analytical thinking, problem-solving skills, and ability to work in collaborative environments.

The role offers a comprehensive benefits package focused on employee well-being, professional growth, and long-term career development.

• Health and dental insurance.
• Meal and food allowance.
• Childcare assistance.
• Extended parental leave.
• Partnerships with fitness and wellness platforms.
• Profit-sharing program (PLR).
• Life insurance.
• Continuous learning platform with professional development opportunities.
• Discounts through partner programs.
• Online platforms focused on physical, mental, and overall well-being.
• Pregnancy and responsible parenting support programs.
• Partnerships with online learning platforms.
• Language learning platform.
• Additional benefits and career growth opportunities.
• Hybrid work model according to company policies and location requirements.