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.
About You
- 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.
Nice to have
- 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.
Our tech stack
Azure, AWS, Python, Node.js, React, MongoDB, ClickHouse.
