Jobgether

Compensation

Full Description

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. Fully remote work with flexibility to choose your preferred workspace. Opportunities to work on cutting-edge AI and data technologies. Collaboration with a diverse, global team across multiple continents and time zones. Exposure to innovative projects in AI, machine learning, and database systems. Inclusive, culture-driven environment encouraging continuous learning and growth. Competitive compensation and professional development opportunities. Jobgether AI Matching Process Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias, focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1