Senior Engineer - Backend & Platform

Role Description

As one of the earliest Backend & Platform Engineers, you'll architect and build the core infrastructure powering AI agents, distributed backend services, and enterprise-scale knowledge systems while working directly with the founders on some of the company's most important technical challenges.

• Architect and build the company's core backend and platform infrastructure
• Design scalable distributed systems supporting enterprise AI workloads
• Build reliable APIs, backend services, and platform capabilities from the ground up
• Design and implement LLM agents capable of reasoning over complex organizational data
• Build production-grade retrieval, memory, and knowledge infrastructure for AI systems
• Own architecture decisions across backend services, data infrastructure, and platform engineering
• Design scalable SQL data models and backend storage systems
• Improve system reliability, scalability, observability, and operational excellence
• Partner closely with founders on technical strategy and long-term platform architecture
• Own high-impact engineering initiatives from design through production deployment
• Help establish engineering standards, architecture principles, and platform best practices
• Operate with high autonomy while solving complex enterprise-scale technical challenges

Qualifications

• 5+ years of experience in backend or platform engineering
• Experience owning production backend systems operating at meaningful scale
• Experience leading technical architecture for high-impact engineering projects
• Experience working at high technical-bar engineering organizations or early-stage startups
• Experience building distributed systems used by real customers
• Experience operating with high ownership and minimal oversight
• Founding Engineer or early startup experience strongly preferred
• Experience designing production platform architecture preferred
• Demonstrated ability to lead ambiguous technical initiatives end-to-end

Requirements

• Deep Python engineering expertise
• Strong distributed systems and backend architecture experience
• Experience designing production APIs and backend platform services
• Strong SQL and relational database experience
• Experience building scalable platform infrastructure
• Hands-on experience with LLMs, RAG systems, AI agents, or agentic workflows
• Strong system design fundamentals
• Experience with observability, debugging, and production operations
• Familiarity with AI-native infrastructure and enterprise knowledge systems
• Strong engineering judgment and architectural decision-making
• Experience leveraging AI coding tools effectively while maintaining engineering quality

Benefits

• Base Salary: $190,000 – $300,000
• Meaningful Founding-Level Equity
• Significant ownership over backend architecture
• Direct collaboration with founders
• Opportunity to shape foundational AI infrastructure
• Remote-first work environment
• Periodic onsite collaboration with engineering team
• Health Insurance
• Flexible PTO
• Transportation and wellness benefits
• Rapid career growth opportunities