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Gen AI Engineer (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a . Gen AI Engineer. in the . United States. .. In this role, you will drive the technical development of cutting-edge AI capabilities on a unified data platform, focusing on Generative AI workflows, data pipelines, and advanced analytics. You will design, build, and optimize Python-based solutions, orchestrate agentic workflows, and integrate both private and cloud-hosted Large Language Models (LLMs) securely and at scale. Working with modern database and cloud-native technologies, you will help deliver high-performance AI workloads, ensuring robust, scalable, and production-ready solutions. This position offers an opportunity to collaborate across global teams and contribute to a platform that accelerates AI innovation across diverse data types.. . Accountabilities:. Design, implement, and maintain Python-based features for AI and data platforms.. Build and optimize solutions for Generative AI use cases such as RAG, data pipelines, and advanced analytics.. Develop, orchestrate, and scale autonomous agent workflows for complex distributed environments.. Integrate, deploy, and manage private and cloud-hosted LLMs with a focus on security and scalability.. Operate and scale AI workloads in Kubernetes environments to ensure reliability and performance.. Evaluate emerging GenAI and Python technologies and apply innovations to platform capabilities.. Collaborate with cross-functional teams on architecture, implementation, and problem-solving initiatives.. . Minimum 3 years of hands-on experience with Python.. Strong foundation in software design, architecture, and production-grade code practices.. Solid experience with testing strategies including unit, integration, and end-to-end tests.. Hands-on experience with SQL/NoSQL databases, Linux/MacOS, Docker, and Kubernetes.. Analytical mindset with strong problem-solving abilities for complex systems.. Bonus: experience with cloud-native development (AWS, Kubernetes), ML pipelines, graph databases, open-source contributions, or deploying/integrating LLMs.. . Company Location: United States.