Top Engineering Jobs

Design and build Genius AI’s software factory, including CI platforms, deployment tooling, infrastructure-as-code guardrails, observability, alerting, SLOs, and incident-response systems. Lead infrastructure platform direction, enable safe self-service for engineers and AI agents, improve deployment velocity and reliability, review complex technical changes, and mentor engineers. The role requires hands-on expertise with AWS, Kubernetes, Terraform, GitOps, CI/CD at scale, progressive delivery, and internal developer tooling.

Lead a platform engineering team responsible for tier-zero systems, identity, permissions, sessions, and messaging infrastructure. Own delivery, quality, architecture, technical debt, and team development while partnering with Product, Design, and Recruiting. Embed AI tooling into engineering workflows and build AI-powered automation to improve productivity. The role also involves hiring, mentoring engineers, making architectural decisions, and connecting platform outcomes to customer value.

Staff Backend Engineer responsible for architecting AI-powered products, integrating production LLM systems, validating designs through proof-of-concepts, and setting technical direction for high-innovation teams. The role combines architecture, planning, technical leadership, hands-on coding, roadmap development, technical debt reduction, and cross-functional collaboration with Product, Design, and Engineering leadership. Candidates will help establish scalable backend architecture and raise engineering quality across the organization.

Build AI-powered product features and scalable platform infrastructure for appointment-based businesses. Design, ship, and own production systems serving over 120,000 businesses and processing billions in payments. Use AI throughout the software development lifecycle, ensure reliability and performance at scale, and drive architectural improvements while collaborating with and supporting other engineers.

Leads engineering execution across multiple teams, sets technical direction, drives 0-to-1 product initiatives, embeds AI tooling into development workflows, and develops future engineering leaders. Partners with product, design, and recruiting to deliver high-quality software, make architectural decisions, scale platform capabilities, and connect engineering outcomes to customer and business results. This is a hybrid role requiring commutability to the NYC headquarters and in-office attendance three to four days weekly.

Build AI-powered product features and scalable platform infrastructure for appointment-based businesses. Engineers own work end to end, from technical design through production, while using AI to architect, debug, write, and review code. The role emphasizes system reliability, performance at scale, entrepreneurial ownership, rapid iteration, and collaboration. Candidates must be commutable to the New York City headquarters and work onsite three to four days per week.