Padmi
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ShortLoop

AI phone agents · automotive dealerships

Software Engineer (Senior)

Bangalore · Onsite₹3M–₹4.5M/yrPosted 7 days ago
Software engineeringSeniorFull Time
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Opens the source posting on ycombinator.com

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About the role

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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.

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