AI/Software Engineer, Hybrid

Abstra

. Design, develop, and launch scalable, secure full-stack applications and microservices using public cloud platforms (AWS/GCP) .

Posted 10/16/2026full-timeSão Paulo • BrazilSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing scalable full-stack applications and microservices using AWS or GCP, with a strong focus on integrating AI functionalities and maintaining robust APIs. Proficient in Python, Go, or Node.js, with a solid understanding of microservices architecture and AI-driven solutions.

Highest-signal resume keywords

Full-Stack Application DevelopmentAWS/GCP Cloud DeploymentAI Integration and DevelopmentMicroservices ArchitectureAPI Development and Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonGoNode.jsMicroservices ArchitectureRESTful APIsGraphQLNatural Language ProcessingMachine LearningGenerative AIDatabase Management

Tools & Technologies

AWSGCPAI ServicesVector DatabasesAgentic Frameworks

Certifications & Qualifications

Bachelor’s Degree in Computer Science

Industry Keywords

AI-Enabled SolutionsWorkflow AutomationPredictive AnalysisEvent-Driven SystemsAI-Powered Search

Tech Stack

Tools & technologies

AWSCloudGoogle Cloud PlatformGraphQLJavaScriptMicroservicesNode.jsNoSQLPythonGo

About the role

Key responsibilities & impact

Design, develop, and launch scalable, secure full-stack applications and microservices using public cloud platforms (AWS/GCP)
Create custom AI-enabled solutions to solve business processes
Use Python, Go, or Node.js while embedding AI functionality where appropriate
Collaborate with Engineers and Product management on AI services, LLMs, and agentic workflow orchestration
Develop robust APIs and integration services connecting AI-powered applications with enterprise systems
Integrate natural language processing, machine learning, generative AI, and AI-powered search into workflows
Develop and maintain custom AI agents for workflow automation, customer interaction, personalized recommendations, and predictive analysis
Write clean, maintainable, well-tested code using Agentic Engineering practices
Contribute across the software development lifecycle, from requirements gathering and AI solution design through deployment, monitoring, and maintenance

Requirements

What you’ll need

7+ years of professional software development experience
Strong proficiency in at least one modern programming language
Experience building and deploying applications on a major cloud provider (AWS, GCP), including use of AI services offered by these platforms
Solid understanding of microservices architecture, RESTful APIs, GraphQL, event-driven systems, and orchestrating AI microservices within these frameworks
Experience with relational and NoSQL databases, as well as vector databases for AI applications
Familiarity with LLMs, vector databases, and agentic frameworks for advanced AI-driven applications
Bachelor’s degree in computer science or a related field, or equivalent practical experience
Successful completion of employment verification and background checks
Verification of job titles and dates of employment with two previous employers

Benefits

Comp & perks

Competitive compensation paid in USD
20 days of paid time off (PTO) per year
Opportunities for professional growth and career development
Company-provided equipment
A collaborative, inclusive, and multicultural work environment
The opportunity to contribute to meaningful projects alongside a talented and supportive team