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AI Software Engineer (Generative AI) Azumo, a leading AI Development company, is seeking a highly motivated AI Software Engineer to join our growing team of expert AI developers. Our talented AI developers are trusted to deliver Top AI Development services in Generative AI, intelligent automation, and custom machine learning solutions.

AI Software Engineer (Generative AI) Azumo, a leading AI Development company, is seeking a highly motivated AI Software Engineer to join our growing team of expert AI developers. Our talented AI developers are trusted to deliver Top AI Development services in Generative AI, intelligent automation, and custom machine learning solutions.

In this role, you will design, build, and operate scalable software platforms that support analytics and AI solutions. You will contribute to system architecture, cloud deployments, and modern containerized environments, while collaborating with multidisciplinary teams across regions.What This Involves:Design, develop, and maintain high-quality software solutions using Python.Contribute to the design and evolution of scalable and maintainable software architectures.Deploy, operate, and monitor applications in cloud environments (AWS, Azure, or GCP).Build and manage containerized applications using Docker and Kubernetes.Support the development and deployment of AI and analytics solutions, working closely with data scientists and data engineers.Collaborate with cross-functional and client-facing teams to deliver end-to-end solutions.Participate in technical discussions, architectural reviews, and continuous improvement initiatives.Skills, Qualifications and Experience:Strong Python knowledge with experience building production-grade software.Experience designing software architectures for scalable applications.Hands-on experience operating and deploying solutions in cloud environments (any major cloud provider).Practical knowledge of container technologies and architectures, including Docker and Kubernetes.Basic understanding of AI solution components and technologies, such as LLMs, vector databases, APIs/protocols, and supporting infrastructure.The following would be a bonus to have:Experience in systems design, particularly in cloud-native or distributed environments.Experience creating project implementation plans, timelines, and effort estimations.Experience leading or mentoring engineering teams and driving projects to completion.Why You Will Love It Here:Work on real-world AI and advanced analytics solutions with measurable business impact.Collaborate with a global team of engineers and data scientists.Exposure to diverse industries, modern cloud platforms, and cutting-edge AI technologies.A collaborative culture that values real outcomesHigh ownership, zero micromanagementRapid learning opportunities and diverse challengesFlexible work hours, remote-friendly setupFlat organisational hierarchy with high visibility and accessibility to our leaders

20+ hours/week is suggested to see significant returns, but you set your own availability.Remote & USD Pay: Earn a competitive hourly rate in US Dollars from the comfort of your home.Cutting-Edge Work: Use your domain expertise to train LLMs (Large Language Models) to write better, safer, and more efficient code.Required QualificationsProfessional Experience: 2+ years of professional Software Engineering experience.Language Skills: Professional proficiency in English (written and reading) is required.Technical Skills: Proficiency in at least one major programming language (Python, Java, JavaScript, C++, etc.) and a solid understanding of computer science fundamentals.Code Review Skills: The ability to describe, evaluate, and critique code logic and syntax in clear English.Preferred QualificationsBachelor’s degree in Computer Science (or equivalent professional experience—we are flexible on education if you have the skills).Experience with broadly used frameworks and libraries.What You’ll Be Working OnOur client has partnered with organizations to train AI large language models. You will be acting as a subject matter expert to ensure the AI creates high-quality code.Example projects include:Evaluating Code Quality: Reviewing AI-generated code snippets for accuracy, efficiency, and safety.Problem Solving: Solving coding problems to provide "ground truth" answers for the AI to learn from.Optimization: Refactoring code to improve performance and scalability.Test Cases: Writing robust test cases to verify that code functions as intended.Documentation: Writing human-readable explanations (in English) of how a piece of code works and why a specific solution is better.??No previous experience with AI necessary!You do not need to be an AI/ML expert.