Staff Software Engineer, Backend
Staff Backend Engineer at Genius AI (HearstLab) — a hands-on IC role setting backend architecture for AI-powered 0-to-1 products, integrating LLMs into production systems, shipping proof-of-concepts, and unblocking engineers. Core technologies: Kotlin, AWS, and Kubernetes, with TypeScript as a plus.
- Compensation
- Not disclosed
- Location
- New York City, New York, United States
- Work setup
- Onsite
- Seniority
- Staff
- Employment
- Full time
- Experience
- 5+ years
- Category
- Backend
- Posted
Skills
Must have
- 7+ years of professional engineering experience with a strong backend focus
- Track record of owning system design and architectural choices for high-scale or high-growth products
- Experience building with AI, integrating LLMs into production systems, and using AI tooling
- Deep Kotlin expertise with strong intuitions about backend architecture, service design, and performance at scale
- Solid command of modern cloud infrastructure, including AWS and Kubernetes
- Comfortable making architectural decisions with incomplete information and iterating rapidly in production
- Natural collaborator who can align teams around a shared technical vision
- Exceptional communicator of complex architectural trade-offs to diverse stakeholders
Nice to have
- TypeScript experience
Full description
Genius AI is looking for a Staff Backend Engineer to serve as the technical anchor for high-innovation teams, setting architectural direction, validating options through proof-of-concepts, and turning ambitious initiatives into clear, buildable roadmaps. This is an individual contributor role with significant leadership responsibility, focused on both architecture and hands-on building. The Staff Backend Engineer will unblock engineers, make critical technical decisions, and set a new standard for backend engineering at Genius AI.
Responsibilities will include:
- Architect and own the technical direction of AI-powered products and 0-to-1 builds, balancing long-term trade-offs and maintaining a backlog of build-ready work
- Integrate AI models and LLMs into customer-facing products as reliable, high-performance production systems
- Shape architectural decisions that define product capabilities for years to come
- Write high-quality code and rapidly ship proof-of-concepts to validate architectural options and address technical challenges
- Partner with Product, Design, and Engineering leadership to translate business goals into well-architected initiatives with clear sequencing
- Proactively identify and resolve systemic technical debt, unblock engineers, and raise the quality bar across the team
- Collaborate with cross-functional teams to align on technical vision and ensure smooth execution
- Communicate complex architectural trade-offs clearly to both technical and non-technical stakeholders
You’re a great fit if you:
- Have 7+ years of professional engineering experience with a strong backend focus and a track record of owning system design and architectural choices for high-scale or high-growth products
- Have experience building with AI, integrating LLMs into production systems, and using AI tooling to accelerate development workflows
- Are comfortable making architectural decisions with incomplete information and iterating rapidly in production environments
- Have deep Kotlin expertise and strong intuitions about backend architecture, service design, and performance at scale (TypeScript experience is a plus)
- Possess solid command of modern cloud infrastructure, including AWS and Kubernetes
- Are a natural collaborator who can align teams around a shared technical vision and keep execution moving smoothly
- Are an exceptional communicator who can make complex architectural trade-offs understandable to diverse stakeholders
Total Compensation