Senior AI Engineer Agentic SDLC

BrazilRemoteFull-timesenior

Machine Learning EngineerData

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Quick Summary

Overview

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior AI Engineer Agentic SDLC based in Brazil.

Technical Tools

Machine Learning EngineerData

In this remote role, you will help transform the software development lifecycle through generative AI and agent-based automation. You will design, implement, and evolve intelligent workflows that integrate AI agents into the full development process, from requirements analysis and refinement to coding, testing, and deployment. Working closely with technical leadership, you will build the infrastructure and integrations that enable AI agents to operate reliably within existing engineering pipelines. You will combine strong software engineering fundamentals with practical expertise in AI tools, cloud services, DevOps, and automated quality assurance. The role offers an opportunity to influence how development teams build, test, and deliver software at scale while maintaining high standards of security, compliance, and reliability. The position is remote, with office attendance required for professionals residing in the Campinas metropolitan area, according to the applicable attendance policy.

Customize and configure generative AI platforms to meet software development lifecycle requirements, including agent skills, personas, prompts, and contextual information.
Develop, maintain, and optimize agentic workflows integrated with development pipelines, including Azure DevOps, Git, and CI/CD tools.
Integrate AI agents across multiple stages of the SDLC, including requirements analysis, refinement, implementation, testing, and deployment.
Tune agent parameters, prompting strategies, and execution workflows to improve performance and output quality at each stage of development.
Plan and execute the AI infrastructure roadmap in collaboration with the AI Orchestrator and other technical stakeholders.
Automate software development activities while maintaining engineering quality, security, and compliance standards.
Integrate quality assurance and security controls, including SonarQube, Veracode, automated test coverage, and related development safeguards.
Identify, assess, and mitigate technical risks associated with deploying AI agents in production environments.
Evaluate agent outputs and refine workflows to ensure reliability, consistency, and alignment with engineering requirements.
Ensure implemented AI solutions adhere to applicable ethical principles, regulatory requirements, and organizational standards.
Collaborate with development teams and technical stakeholders to continuously improve AI-enabled engineering workflows and delivery practices.

Requirements

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Strong professional experience in software engineering using Java, Python, or comparable programming languages.
Familiarity with CI/CD pipelines and DevOps practices, including Azure DevOps, GitFlow, and SonarQube.
Experience with cloud computing, particularly AWS services such as Lambda, SQS, and S3.
Practical experience with generative AI tools for software development, such as Claude Code, GitHub Copilot, or similar solutions.
Ability to write and refine prompts, configure AI agents, and assess the quality, accuracy, and usefulness of their outputs.
Solid understanding of software quality practices, including automated testing, behavior-driven development (BDD), and static application security testing (SAST).
Strong analytical and problem-solving skills, with the ability to identify technical risks and develop reliable automation solutions.
Attention to detail and a commitment to code quality, security, compliance, and responsible AI implementation.
Ability to collaborate effectively with technical teams and communicate engineering decisions clearly.

Experience with agentic development frameworks and methodologies, such as AISDD, Spec-Kit, or similar approaches.
Knowledge of microservices architecture and frameworks such as Spring Boot or Quarkus.
Familiarity with workflow observability and orchestration tools, such as Flow Ops, Databricks, or comparable platforms.
Experience delivering large-scale projects involving multiple engineering teams or squads working concurrently.
Previous experience in the employee benefits sector, financial technology, or fintech environments.

What We Offer

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✓Healthcare coverage: Health and dental insurance.

✓Food and meal allowances: Support for everyday food and meal expenses.

✓Childcare assistance: Financial support for eligible childcare expenses.

✓Extended parental leave: Enhanced parental leave provisions.

✓Wellness programs: Access to fitness facilities and health and wellness professionals through partner platforms, including Wellhub and TotalPass.

✓Profit-sharing: Participation in a profit-sharing program, subject to applicable terms.

✓Life insurance: Life insurance coverage.

✓Continuous learning: Access to a dedicated learning platform and professional development resources.

✓Online education: Partnerships with online learning platforms and access to language-learning resources.

✓Discount programs: Access to a club offering discounts on selected products and services.

✓Physical and mental well-being: Access to a free online platform focused on health, fitness, mental well-being, and overall wellness.

✓Parental education: Resources and courses supporting pregnancy, parenting, and responsible caregiving.

✓Inclusive workplace support: Dedicated health and well-being professionals, inclusion specialists, and affinity groups. Candidates with disabilities can receive guidance on documentation and available accommodations throughout the recruitment process.

✓Remote work: Remote working arrangements for eligible professionals in Brazil, subject to the specific office-attendance policy for residents of the Campinas metropolitan area.

✓Compensation details: Salary and any additional financial allowances beyond those listed are not specified in the available job description.