Description

In this role, you will design core backend architecture and build scalable systems while collaborating closely with AI engineers and product teams. Your work will significantly impact the development of an innovative AI-native platform for SMB insurance.

Requirements

• •Extensive experience building backend systems with Node.js / TypeScript
• •Strong architectural skills in distributed systems, async workflows, and service boundaries
• •Deep understanding of data modeling and relational databases (PostgreSQL)
• •Experience with AWS, Terraform, CI/CD, and modern DevOps tooling
• •Familiarity with AI/LLM system integration or strong motivation to learn quickly
• •Strong communicator who can articulate trade-offs and technical reasoning
• •Collaborative, low-ego and pragmatic - prioritizes outcomes over ego
• •Bias for action - comfortable shipping fast in ambiguous 0→1 environments
• •System thinker - sees the big picture while delivering incrementally
• •Natural mentor to other engineers, even without formal people management

Tasks

• •Design and own core backend architecture across multiple services
• •Build and scale distributed, event-driven systems
• •Establish patterns for reliability, performance, and observability
• •Own major technical decisions and ensure long-term maintainability
• •Architect integrations with LLM-driven components
• •Work on retrieval layers, inference pipelines, and structured output flows
• •Collaborate with AI engineers on evaluation, monitoring, and model integration
• •Oversee backend infrastructure using AWS, Terraform, and CI/CD
• •Improve resilience, security, and operational excellence
• •Drive observability, monitoring, and instrumentation practices
• •Define and enforce code quality, architecture standards, and review practices
• •Guide backend engineers through complex problem-solving and design
• •Contribute to hiring, interviewing, and onboarding future team members
• •Work closely with product teams to drive technical planning and roadmap execution
• •Shape architecture, engineering culture, and long-term system direction
• •Collaborate directly with the CPTO and AI engineering teams
• •Build foundational infrastructure for an AI-native platform

Tools & Technologies