Loop AI

AI-driven restaurant delivery financial reconciliation

Software Engineer 2

AI Application Engineering +1Confirmed live in the last 24 hours

Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

At least 3 years of full-time experience building and shipping production backend systems and web applications.
Strong fundamentals in data structures, algorithms, and system architecture, including the ability to design systems and explain tradeoffs.
Experience building data pipelines, including event-driven, batch, or streaming pipelines, and owning their correctness, cost, and failure modes.
Familiarity with model APIs, prompt orchestration, tool-calling, retrieval, and evaluating agent correctness.
Hands-on experience with agentic application development, including model APIs, prompt design, and tool-calling patterns.
Use AI tools in daily coding while maintaining standards for correctness and review.
Comfort with cloud services and event-driven architectures.
Product thinking and 0-to-1 experience, including working directly with product teams across functions and geographies and shaping scope from conversational requirements.

Responsibilities

Analyze, scope, and implement product features and APIs using clean, maintainable, well-tested code, taking work from requirements through production with increasing independence.
Build and integrate LLM-powered agentic features, including tool/function calling, prompt orchestration, retrieval, and guardrails for safe, auditable autonomous actions.
Develop and manage ingestion streams, ETL pipelines, and data architectures that provide agents with data to automate workflows and execute operational tasks.
Build and run services on GCP using data-based transformations, and own infrastructure and deployment paths for delivered work.
Shape, scope, implement, debug, and optimize owned customer problems and systems, and take responsibility for outcomes.

Desired Qualifications

Exposure to business intelligence or analytics platforms.

About Loop: Loop AI is an agentic AI platform for the back office of the real economy. Today we build end-to-end agentic workflows for enterprises; our goal is for users to build and manage agents themselves. Founded in 2022, we're trusted by 300+ brands powering thousands of locations across the US, backed by a $14M Series A led by Nyca Partners, with teams in New York, San Francisco, Tampa, and Bengaluru.

We're built by a world-class team. Several of us are ex-founders who scaled our own companies to multiple millions in ARR before joining hands at Loop to execute on a bigger shared vision — alongside operators and AI engineers from Stanford, Harvard, Wharton, Uber, Google, Amazon, and McKinsey.

We believe agentic products are the future of the software–human interface, and restaurants were only the beginning. Flat hierarchy, lean high-impact team, radical ownership, no bureaucracy — this is your chance to help steer the rocketship.

About the Role: As an SDE-2, you own execution end to end: scoping the requirement, jamming on system design, shipping it, and running it in production. You'll find the solution to the customer problem and implement it, rather than receiving scoped tasks.

Our stack is agent-native, so most of your work sits in AI agentic systems, orchestration and tool-calling, agentic data pipelines, long-running workflows that have to be repeatable and idempotent, and the distributed services that feed them. Product thinking matters here, you will shape scope with Product, work closely with senior engineers on system design, and own the outcome rather than a ticket. Problems arrive as conversations and ideas, and you are expected to shape, scope & implement them from 0->1.

We hire for end-to-end ownership, product curiosity, and the hunger to keep learning and raise the bar.

Key Responsibilities:

Build Products End to End: Analyze, scope, and implement product features and APIs with clean, maintainable, well-tested code. Take problems from requirement to production with increasing independence.

Implement AI agent workflows: Build and integrate LLM-powered agentic features: tool/function calling, prompt orchestration, retrieval, and the guardrails that keep autonomous actions safe and auditable.

Feed the agents: Develop & manage ingestion streams, ETL pipelines, and the data architectures that give agents the data they need to automate workflows, and execute operational tasks.

Own the cloud data stack: Build and run services on GCP with data based transformations, and own the infrastructure and deployment paths for what you ship.

What We're Seeking:

3+ years of full-time experience building and shipping production backend systems and web applications

Strong fundamentals in data structures, algorithms, and system architecture. You can design a system and defend the tradeoffs.

Real experience building data pipelines — event-driven, batch or streaming — and owning their correctness, cost and failure modes.

Familiarity with the agent stack: model APIs, prompt orchestration, tool-calling, retrieval, and how you tell whether the agent is actually right.

Hands-on with agentic application development: model APIs, prompt design, and tool-calling patterns. You also code with AI tools daily without dropping the bar on correctness and review.

Comfort with cloud services , event-driven architectures, exposure to BI or analytics platforms is a plus.

Product thinking and 0-to-1 experience. You work directly with product folks across functions and geographies, shape scope when the spec is a conversation, and debug and optimize what you own without waiting to be asked

About the Company

Loop AI

AI-driven restaurant delivery financial reconciliation

Loop AI provides a subscription SaaS back-office platform that helps multi-location restaurants optimize profitability in the third-party delivery space by automating financial reconciliation of orders from services like DoorDash, Uber Eats, and Grubhub. It works by breaking each order into line items (up to about 15), automating bookkeeping, offering a real-time dashboard to track sales and lost revenue, and helping manage and dispute chargebacks, while also using AI to surface operational issues from customer feedback. It differentiates itself through founder-led industry and tech experience, a laser focus on the complex delivery financial model, and a combination of reconciliation automation, revenue recovery, and actionable feedback insights. Its goal is to reduce accounting time, improve margins, and recover revenue for restaurant operators.

Company size: 51-200
Company stage: Seed
Total funding: $6M
Headquarters: California, United States
Founded: 2022

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