LEAD AI ENGINEER (AI SYSTEMS & AUTOMATION)

Accountabilities: • Lead the design, architecture, and delivery of production AI systems that automate complex business workflows. • Develop scalable AI orchestration layers connecting large language models, backend services, and operational processes. • Own end-to-end AI infrastructure, including inference pipelines, intelligent routing, caching mechanisms, and fallback strategies. • Drive technical decisions focused on system performance, scalability, reliability, latency, and operational cost. • Implement and maintain robust observability practices through monitoring, logging, tracing, and alerting solutions. • Collaborate closely with cross-functional teams to deliver end-to-end AI-powered features and services. • Troubleshoot complex production issues, perform root-cause analysis, and continuously improve system resilience. • Establish engineering standards, best practices, and architectural guidelines for AI system development. • Review code, provide technical leadership, and mentor engineers to strengthen engineering quality and execution. Requirements • Extensive experience in backend engineering or AI engineering within production environments. • Proven expertise building or scaling AI-powered systems using technologies such as large language models, embeddings, recommendation engines, or workflow automation. • Strong knowledge of distributed systems architecture and production system design. • Hands-on experience developing AI inference pipelines and orchestration frameworks. • Excellent debugging and problem-solving skills in high-scale, latency-sensitive systems. • Experience implementing observability, monitoring, incident response, and production support practices. • Demonstrated ability to lead technical initiatives across cross-functional teams while maintaining hands-on coding responsibilities. • Proficiency with Python, Node.js, SQL and NoSQL databases, Kubernetes, Docker, and modern cloud-native development practices. • Strong communication, ownership mindset, leadership skills, and the ability to perform effectively in globally distributed, fast-paced environments. Benefits • Fully remote position with the flexibility to work from anywhere within the United States. • Competitive compensation package. • Learning and development budget to support continuous technical growth. • Opportunity to work alongside an international engineering team across multiple countries. • High-impact technical leadership role with significant ownership of critical AI systems. • Exposure to modern AI technologies, scalable infrastructure, and production-grade engineering practices. • Collaborative engineering culture focused on technical excellence, innovation, and continuous improvement. • Opportunity to influence AI architecture, engineering standards, and long-term technical strategy. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1