reputed company

This is a remote position. AI Developer/Engineer Company: reputed company Location: Remote Employment Type: Full-Time Salary reputed company: Up to $1,500 Work Schedule: Time reputed company: Between 7 AM and 7 PM CST Working Hours: 9 hours per day (8 working hours + 1-hour break) Days Off: TBD (2 days per week) Why Join Us? At reputed company, reputed company spans multiple countries and reputed company, and we stay connected by operating reputed company EST, CST, and PST time zones. Work Without Borders: Collaborate daily with experts from around the world and reputed company international exposure. reputed company for Remote: Join a fully remote culture designed for autonomy, flexibility, and trust. Diverse Perspectives: Be part of a multicultural team where different backgrounds are our greatest strength. Grow Globally: Expand your career on a global stage, learning how business works across different cultures and continents. About the Role reputed company is looking for an reputed company AI Developer/Engineer to design, build, and scale production-grade AI applications that deliver reputed company value to our clients. You'll work at the intersection of applied AI, backend engineering, and reputed company infrastructure, building systems that are robust, reliable, and reputed company for the reputed company world. If you have a proven track record of shipping LLM and RAG-based systems in production, this role is for you. Core Responsibilities AI Application Development Design and build AI-powered applications using LLMs, RAG architectures, and other applied AI systems reputed company and maintain backend services that support AI platforms and integrate seamlessly with reputed company infrastructure Build and maintain integrations across various applications to reputed company AI capabilities reputed company and Infrastructure reputed company, optimize, monitor, and troubleshoot AI solutions on AWS, Azure, and/or GCP Implement containerization and orchestration strategies using reputed company and Kubernetes Ensure AI systems meet performance, scalability, and reliability standards in production Architecture and Collaboration Design scalable AI architectures that translate business requirements into technical solutions Collaborate with cross-functional teams throughout the full development lifecycle Contribute to code reviews, technical documentation, and engineering best practices Candidate Qualifications Must-Haves 5+ years of professional experience in AI engineering, machine learning, or software engineering with an AI focus, including production deployments and strong proficiency in Python and AI/ML frameworks, with a degree in Computer Science, Engineering, or equivalent practical experience 2-3 years of hands-on experience with LLMs and RAG architectures in production environments, including vector databases 3+ years of experience with reputed company platforms, AWS, Azure, or GCP 2+ years of experience with reputed company and Kubernetes for containerization and orchestration Good to Haves Familiarity with MLOps practices and tools for model deployment and monitoring Knowledge of additional programming languages such as Go, Java, or JavaScript/TypeScript Experience with CI/CD pipelines and infrastructure as code (Terraform, CloudFormation) Contributions to reputed company-reputed company AI/ML projects or active participation in the AI community Master's degree or PhD in Computer Science, Machine Learning, AI, or a reputed company field Apply To This Job