Senior Ai Software Developer

1 semana atrás

Fortaleza, Brasil Bebeesoftware Tempo inteiro

Artificial Intelligence EngineerAs a Senior Software Developer focused on AI, you will contribute significantly to the development of innovative AI Agents by collaborating closely with your engineering peers.
This role requires a high degree of creative thinking and a strong willingness to learn as you work with the latest in Generative AI tools and frameworks.Key ResponsibilitiesLead the design, architecture, and development of autonomous AI Agents leveraging Large Language Models (LLMs) and agent-specific frameworks;Develop full-stack applications that support and interact with AI Agents using JavaScript/TypeScript, React, and Next.js to build necessary interfaces and systems;Explore and experiment with emerging technologies and frameworks in the agentic space fostering innovation and shaping best practices;Collaborate with product and design teams to define behavior, capabilities, and goals of AI Agents translating business requirements into robust agentic solutions;Ensure code quality through rigorous reviews, testing, and documentation while mentoring other engineers on development best practices.Essential Skills and QualificationsSolid experience in software engineering and full-stack development with proficiency in JavaScript, TypeScript, and React;Hands-on and up-to-date knowledge of Generative AI including experience building and implementing features with LLMs in real-world products;Strong foundation in software engineering principles including system design, API architecture, code quality, and testing.What You Will GainA comprehensive understanding of AI Agent development and deployment;Experience working with leading-edge technologies and frameworks;Opportunities for professional growth and skill development in a collaborative environment.Preferred QualificationsProven track record of developing and deploying AI-powered solutions;Knowledge of machine learning algorithms and data structures;Familiarity with cloud-based infrastructure and DevOps practices.

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