Software Engineer

Overview

ShortLoop builds high-reliability AI phone agents that autonomously manage conversations for automotive dealerships. These agents book service appointments, qualify leads, and integrate deeply into dealership workflows - requiring tight SLAs, fault-tolerant systems, and fast, context-aware reasoning. As a software engineer on the team, you will design, scale, and evolve the infrastructure that powers these real-time Agentic AI systems.

What You’ll Be Doing

This role is highly cross-functional and involves substantial ownership of system behavior, architecture, and execution.

• Leading design and implementation of real-time communication and conversation systems.
• Scaling the infrastructure for our Agentic AI pipelines (LLMs, tools, decision loops).
• Owning major backend components - from API surfaces to integration layers to data persistence.
• Architecting cloud-native systems with a focus on resilience, latency, and cost efficiency.
• Shaping engineering practices, performance monitoring, testing strategy, and deployment processes.
• Collaborating directly with the founding team to align architecture with product roadmap.
• Supporting integrations with dealership management software and task automation workflows.
  
  

• 3 - 5 years in a full-time engineering role building production systems.
• Strong experience architecting scalable, secure, and observable cloud applications.
• Ability to independently scope, design, and execute complex system components.
• Experience with data infrastructure, event-driven architectures, or distributed systems.
• Comfortable working in a fast-moving early-stage environment with high autonomy.
• You take initiative - if something is broken, ambiguous, or inefficient, you drive the fix.
  
  

• Experience building from 0 → 1 or working in early-stage teams.
• Familiarity with LLM-based reasoning systems, speech pipelines, or real-time telephony (SIP, WebRTC).
• Performance tuning experience - query optimization, caching strategies, concurrent systems.
• Experience designing internal tools or workflow automation at scale.
  
  

Azure, AWS, Python, Node.js, React, MongoDB, ClickHouse.