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Seekerh

Generative AI Engineer

Seekerh

. Develop solutions using Generative AI, automation, and software development .

Posted 9/22/2026full-timeSão Paulo • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Python Development, API Integration, and Generative AI techniques while ensuring adherence to Software Engineering Best Practices. Proven ability to collaborate with cross-functional teams on technology modernization and legacy application projects.

Highest-signal resume keywords
Python DevelopmentAPI IntegrationGenerative AI TechniquesSoftware Engineering Best PracticesAgile Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Python DevelopmentAPI Creation and ConsumptionGenerative AILLMsCode AnalysisTechnical DocumentationAccelerator DevelopmentAutomationTechnology ModernizationLegacy Application Knowledge
Soft Skills
CollaborationCommunication
Tools & Technologies
Agile MethodologiesScrumKanban
Industry Keywords
Software Development LifecycleReverse EngineeringClean CodeTestingCode Review

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Develop solutions using Generative AI, automation, and software development
  • Create tools for analyzing, documenting, and modernizing legacy applications
  • Develop integrations using Python, APIs, and LLMs
  • Support reverse engineering initiatives and the generation of technical and functional documentation
  • Build accelerators for generating tests, scripts, and development artifacts
  • Work closely with architects, COBOL specialists, and business teams
  • Ensure the technical quality of deliverables through software engineering best practices

Requirements

What you’ll need
  • Experience with Python development and creating and consuming APIs
  • Knowledge and practical application of LLMs and Generative Artificial Intelligence techniques
  • Experience building accelerators and automations for the software development lifecycle
  • Knowledge of and experience with reverse engineering initiatives, code analysis, and the generation of technical and functional documentation
  • Experience with technology modernization projects and legacy applications, such as COBOL
  • Knowledge of software engineering best practices, including Clean Code, testing, and Code Review
  • Ability to collaborate with technical teams, architects, and stakeholders on corporate and international projects
  • Experience with Agile methodologies, including Scrum and Kanban
  • Advanced or fluent English for interaction with international teams and stakeholders