Senior AI Engineer

EVT

. Develop and implement artificial intelligence solutions .

Posted 10/10/2026contractRemote • BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and implementing Artificial Intelligence solutions, with a strong focus on Python development, AI frameworks, and scalable software architecture. Proficient in integrating AI models into business systems and applications, utilizing cloud AI services and modern development practices.

Highest-signal resume keywords

Python DevelopmentArtificial Intelligence ApplicationsGenerative AI and LLMsAI Frameworks and LibrariesREST API Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Artificial IntelligencePythonSoftware ArchitectureGenerative AILLMsAI FrameworksREST APIGitAutomated TestingDatabase Knowledge

Tools & Technologies

LangChainLangGraphPyTorchTensorFlowScikit-learnFastAPIFlaskAzure AIAWS BedrockGoogle Vertex AI

Industry Keywords

Systems IntegrationScalable Solution DesignDesign PatternsRAG TechniquesEmbeddingsVector DatabasesMicroservicesCI/CD Pipelines

Tech Stack

Tools & technologies

AWSAzureDockerFlaskPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Develop and implement artificial intelligence solutions
Contribute to the design, training, and deployment of models
Integrate AI into business systems and processes throughout the project
Work on a challenging project as a Senior AI Engineer

Requirements

What you’ll need

Experience with Python development
Experience developing and implementing Artificial Intelligence applications
Experience with software architecture, including scalable solution design, design patterns, and systems integration
Experience with Generative AI, LLMs, and integrating AI models into applications
Knowledge of AI frameworks and libraries such as LangChain, LangGraph, PyTorch, TensorFlow, or Scikit-learn, depending on the application
Experience developing and integrating REST APIs using frameworks such as FastAPI or Flask
Knowledge of relational and non-relational databases
Experience with code version control using Git, automated testing, and software development best practices
Experience integrating AI solutions with existing systems and applications
Knowledge of RAG techniques, embeddings, and vector databases for LLM-based applications
Preferred: Experience with cloud AI providers such as Azure AI, AWS Bedrock, or Google Vertex AI
Preferred: Knowledge of Docker, microservices, and CI/CD pipelines

Benefits

Comp & perks

Learning incentive programs (Udemy)
Corporate English classes at affordable rates