ShortLoop
Software Engineer - Fullstack
- Compensation
- Not disclosed
- Location
- IN
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 0+ years
- Category
- Fullstack
- Posted
Skills
Full description
ShortLoop builds enterprise-grade AI phone agents that deliver human-level clarity in real-time conversations. Our systems run 24/7 for automotive dealerships across the U.S. and India, managing inbound and outbound calls, scheduling service appointments, qualifying leads, and executing workflow automation against dealer systems. We operate with strict latency and reliability requirements. As an engineer here, you will help extend and harden the systems that make this possible.
What you’ll be doing
You will contribute across the stack with a focus on clean implementation, operational reliability, and rapid iteration. Typical work includes:
- Building and improving real-time telephony and conversation-processing services.
- Implementing features within our Agentic AI workflow engine.
- Working on backend APIs and integrations with dealer management systems.
- Contributing to internal tools used by Ops, Design, and Growth.
- Participating in code reviews, observability improvements, and deployment workflows.
- Collaborating directly with founders and senior engineers to evolve ShortLoop’s architecture.
About you
- 0 - 3 years in a full-time engineering role or equivalent project experience.
- Solid fundamentals in computer science, distributed systems basics, and debugging.
- Comfortable working with cloud infrastructure and modern backend frameworks.
- Strong initiative - you notice broken things and want to fix them.
- Interest in real-time systems, LLM - powered applications, or workflow automation.
- Eagerness to learn from senior engineers and take on progressively larger responsibilities.
Nice to have
- Experience with Python, Node.js, or TypeScript.
- Exposure to React or similar frontend frameworks.
- Familiarity with MongoDB, ClickHouse, Pinecone or event-driven architectures.
- Coursework or project experience in speech/LLM applications, telephony (SIP, WebRTC), or backend performance tuning.
Our tech stack
Azure, AWS, Python, Node.js, React, MongoDB, ClickHouse.