Senior Ai Software Developer

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Santarém, Brasil Bebeeinnovation Tempo inteiro

AI Full-Stack Engineer Job DescriptionAbout the Product:We are a leading provider of innovative services that generate authentic connections.Our team of experts has been innovating for over 30 years, providing solutions in research, strategy, digital marketing, lead generation, slate optimization, student search, and creative.Job Purpose:The AI Full-Stack Engineer will build and maintain AI applications on top of existing LLM APIs, focusing on integration, application development, and performance optimization.This role emphasizes Python-based solutions and ensuring AI applications meet evolving needs.Duties and Responsibilities:Design, develop, and maintain scalable and secure AI applications leveraging existing LLM APIs.Implement and manage integrations with various AI platforms and services.Develop and maintain Python-based applications, cloud-deployed or on-premises, tailored for AI functionalities.Implement and manage CI/CD workflows for AI applications.Monitor and optimize AI application performance and cost, including model evaluation and optimization.Ensure data quality checks for AI models and applications; escalate defects with clear reproduction steps and impact.Python Application Development:Utilize Python libraries and frameworks relevant to AI application development.Collaborate with development teams to integrate AI applications with existing systems.Collaboration and Communication:Serve as a primary conduit among business leads, product managers, and AI/engineering teams.Facilitate demos, knowledge-sharing sessions, and best-practice documentation for AI development.Promote adoption of new AI capabilities and practices; gather feedback for continuous improvement.Release and Change Management:Coordinate release plans, timelines, and stakeholder readiness for AI application deployments.Ensure training, job aids, and rollout communications are prepared and delivered for new AI features.Track post-release issues, adoption, and stabilization metrics for AI applications.Requirements:Familiarity with existing LLM APIs and experience building applications on top of them.Experience with integration of AI applications into existing systems.Proficiency in Python and familiarity with AI-specific libraries and frameworks.Experience with optimizing AI model evaluation and performance.Cloud-based CI/CD workflows.Experience with Git and Git providers, e.g., GitHub/BitBucket/GitLab.

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