Senior AI Engineer

🕒 Novembro 5, 2025

Candidatar-se

Encontrar Vagas Remotas Similares

Receber Emails de Vagas Remotas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

Codvo.ai

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2019

🔒 Cibersegurança

☁️ SaaS

AI • Cybersecurity • SaaS

A Codvo. ai é uma empresa de tecnologia especializada em entregar soluções estratégicas para empresas por meio de inovação avançada impulsionada por AI. A companhia foca em transformar dados corporativos em valor mensurável, ajudando negócios a acelerar o crescimento com implementações de AI personalizadas, adequadas aos desafios específicos de diversos setores. Seu amplo portfólio de serviços inclui automação com AI/ML, desenvolvimento de aplicações, análise de dados, cibersegurança e transformação digital, garantindo que as organizações prosperem em um cenário digital em rápida evolução.

Descrição

• Design and implement efficient and scalable pipelines for data ingestion, processing, and transformation, tailored for Generative AI workloads. • Orchestrate the flow of data between various AI services, databases, and backend systems within the Generative AI context. • Build and maintain CI/CD pipelines for deploying and updating Generative AI services and pipelines. • Develop and manage systems for ingesting diverse data sources (text, images, code, etc.) used in Generative AI applications. • Implement OCR and other preprocessing techniques to prepare data for use in Generative AI pipelines. • Ensure data quality, consistency, and security throughout the ingestion process. • Integrate and manage external AI services (e.g., cloud-based APIs for image generation, text generation, LLMs) into our Generative AI applications. • Develop and maintain APIs for seamless communication between AI services and backend systems. • Monitor and optimize the performance of integrated AI services within the Generative AI pipeline. • Design and implement RAG pipelines to enhance Generative AI capabilities with external knowledge sources. • Develop and optimize data retrieval and indexing strategies for RAG systems used in conjunction with Generative AI. • Analyze and debug LLM outputs to ensure quality and consistency in Generative AI applications. • Design, develop, and maintain backend services that support Generative AI applications. • Ensure the scalability, reliability, and security of backend infrastructure for Generative AI workloads. • Implement monitoring and logging systems for backend services and pipelines supporting Generative AI. • Troubleshoot and resolve backend-related issues impacting Generative AI applications.

🎯 Requisitos

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. • 5+ years of experience in AI/ML development with a focus on building and deploying AI pipelines and backend systems. • Proven experience in designing and implementing data ingestion and processing pipelines. • Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services. • Expertise in Python and relevant AI/ML libraries. • Strong understanding of AI infrastructure and deployment strategies. • Experience with data engineering and data processing techniques. • Proficiency in software development principles and best practices. • Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). • Experience with version control (Git). • Experience with RESTful APIs and API development. • Experience with vector databases and their application in AI/ML, particularly for similarity search and retrieval. • Familiarity with Generative AI concepts and techniques (e.g., GANs, Diffusion Models, VAEs, LLMs). • Experience with integrating and managing Generative AI services. • Understanding of RAG pipelines and their application in Generative AI. • Experience with prompt engineering for LLMs in Generative AI contexts.

🏖️ Benefícios

• Professional development opportunities • Flexible working hours