LEAD ENGINEER - AI

Accountabilities: • Lead the design and development of scalable AI-driven backend systems supporting high-traffic platform services and generative workflows. • Own architecture and implementation of distributed systems, including microservices, event-driven pipelines, and edge or serverless components. • Build and optimize LLM-powered systems such as RAG pipelines, embeddings workflows, and multi-agent orchestration frameworks. • Drive development of secure and scalable identity, permissions, and access control systems across platform services. • Improve system reliability, performance, and observability using monitoring, logging, and alerting best practices. • Implement AI safety and guardrails, including structured outputs, verification layers, and hallucination mitigation strategies. • Collaborate with staff engineers and product teams to translate architectural designs into production-ready systems. • Mentor engineers through code reviews, technical discussions, and best-practice enforcement in a high-ownership engineering culture. Requirements: • 6+ years of backend or platform engineering experience in distributed systems or high-scale environments. • Strong proficiency in Go and Node/NestJS for building scalable backend services. • Hands-on experience with distributed architectures, event-driven systems, and asynchronous workflows. • Strong expertise in databases including PostgreSQL and NoSQL systems, with performance tuning experience. • Proven experience working with LLM integrations, embeddings, vector databases, and RAG-based systems. • Familiarity with edge or serverless platforms such as Cloudflare Workers and KV or equivalent technologies. • Strong understanding of system design, scalability, latency optimization, and production reliability. • Experience implementing AI safety mechanisms, structured outputs, and model evaluation approaches. • Excellent communication skills with the ability to work across technical and product-focused teams. Benefits: • Competitive compensation aligned with senior AI engineering leadership roles. • Fully remote-first working environment with global collaboration. • Opportunity to work on AI-native systems at massive scale with real-world impact. • High ownership role with influence over architecture and platform direction. • Strong focus on engineering excellence, learning, and technical growth. • Access to modern AI tooling, distributed systems infrastructure, and advanced LLM frameworks. • Inclusive and collaborative global engineering culture. 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