# Staff Software Engineer, Applied AI

**Company**: Toast
**Location**: Bengaluru, Karnataka
**Work arrangement**: hybrid
**Experience**: staff
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/toast/jobs/8345739?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_d718ef6f-4e7

## Description

Toast is looking for a Staff Software Engineer to join our New Ventures team and help build a new AI-powered product.

You'll tackle problems without an established playbook, make decisions that shape the product, and take ideas from early experiments to capabilities customers can depend on.

This is a role for someone who enjoys both exploring what's possible and making it work in practice.

## Responsibilities

- Own the design and delivery of core capabilities for a new AI-powered product, from exploring an approach to launching it and improving it with customer feedback.

- Turn ambiguous product problems into working software.

- Build LLM-powered workflows and agents, deciding where to use model reasoning, tools, or conventional software to achieve reliable outcomes.

- Define what good performance means for AI-powered capabilities.

- Shape the backend services, APIs, and data models that let the product evolve quickly.

- Partner with teams across Toast to deliver integrations, resolve technical dependencies, and establish clear ownership of shared capabilities.

- Work closely with Product and Design to make tradeoffs across customer experience, technical feasibility, reliability, latency, and cost.

- Stay close to the code and production behavior: implement critical components, debug difficult problems, and own successful rollouts.

- Raise the team's effectiveness through technical feedback, mentoring, and thoughtful use of AI coding assistants and agents across development, testing, and debugging.

## Requirements

- 8–12 years of experience building backend services, APIs, and production software.

- Extensive experience with an object-oriented language such as Java or Kotlin, with a deep understanding of testing, software design, and engineering best practices.

- Experience building and scaling distributed systems and cloud-native services on AWS.

- Hands-on experience shipping and operating LLM-powered applications, including agents that use tools or APIs to complete multi-step tasks.

- Experience designing and implementing evaluations for AI systems, investigating failures, and using results to improve system behavior.

- Demonstrated proficiency using AI coding assistants and coding agents throughout the software development lifecycle, with clear practices for reviewing, testing, and validating their output.

- Experience balancing delivery speed with platform stability, security, and reliability, particularly when requirements are evolving.

- Experience influencing technical direction across multiple teams, with excellent communication skills on complex technical topics.

- Strong customer focus, a collaborative approach, and a track record of taking ownership in ambiguous environments.

## Bonus Ingredients (Nice to Have)

- Experience building early-stage products and scaling them as customer adoption and usage grow.

- Experience designing and building GraphQL APIs.

- Comfort working across the stack.

## AI at Toast

At Toast, one of our company values is that we're hungry to build and learn.

## Our Total Rewards Philosophy

We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry.

## How Toast Uses AI in its Hiring Process

Throughout the hiring process, our goal is to get to know you.

## Our Approach to Hybrid Working

We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs.

For more fresh new jobs, check out [yubhub.co](https://yubhub.co/).

## Skills

### Required
- Java
- Kotlin
- AWS
- LLM-powered applications
- AI coding assistants
- distributed systems
- cloud-native services
- GraphQL APIs

### Nice to have
- building early-stage products
- designing and building GraphQL APIs
- comfort working across the stack

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/toast/jobs/8345739?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)