Full-Stack Developer - Data & Ai

The company: We are a global custom software development and IT project staffing organization without geographic restrictions; we operate globally, navigating technology and business challenges with expertise. Our U.S. headquarters are in San Diego, California and we also have strategically located development centers in Brazil, Mexico, Peru, and Uruguay. Our Latin America headquarters are based in Porto Alegre, Brazil, with a branch in São Paulo. For over two decades, we have been globally recognized in the software and innovation market for delivering projects with added value, crafted by agile teams of skilled professionals.Job Responsibilities:Work on cutting-edge AI projects, including generative AI, throughout the full development cycle.Design and implement advanced data pipelines for AI model training, using the latest technologies and best practices.Collaborate with cross-functional teams, including Data Engineers, Data Scientists, AI Strategists, and AI Engineers, to drive success in AI and data projects.Stay updated on the latest advancements in AI research and technologies.Job Requirements:3+ years of experience as a Full-Stack Developer, with a focus on AI-related projects being highly valued.Proven hands-on experience with Generative AI technologies, including LangChain, Bedrock, prompt engineering, RAG, TensorFlow, PyTorch, etc.In-depth knowledge of popular AI models and frameworks, such as GPT, Claude, LLama, Gemma, and other emerging technologies.Experience with CI/CD solutions tailored for MLOps and LLMOps, ensuring seamless deployment and scaling of AI models.Strong problem-solving skills, particularly in the context of AI model development, deployment, and troubleshooting.Self-managing with the ability to thrive in a fast-paced environment, adapting quickly to changing priorities and challenges.Bachelor's degree in a STEM field (preferably IT); a graduate degree in AI-related fields is a strong advantage.Experience with Data Engineering tools and environments like Spark, Hadoop, and Databricks is highly desirable.
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