AI Software Engineer, Product

Worky; Toronto; On-site; CAD 120,000 - 150,000; Full time

Benefits offered by this job

Stock option plan

Competitive salary

Medical benefits

Dental benefits

Vision benefits

Retirement plan

Paid time off

Company holidays

Learning and development support

Family Leave

Short/Long Term Disability

Job summary

Worky is seeking a product-focused AI Software Engineer to turn advances in AI into restaurant-ready products. You will build across customer-facing experiences, backend services, agent workflows, integrations, and evaluation systems.

You’ll own problems from discovery to production, collaborating with restaurant operators and internal teams. Our stack includes Python, FastAPI, PostgreSQL, TypeScript, React, Next.js, and AWS.

Qualifications

• 3+ years of industrial experience in relevant technical domain.
• Strong software engineering fundamentals and production web experience.
• Experience with LLMs, speech models, computer vision, or agent systems beyond a toy prototype.
• Product judgment to simplify scope and deliver valuable product.
• Experience designing APIs, data models, and integrations with external systems.
• High bar for testing, observability, security, reliability, and user experience.
• Ability to work directly with users and adapt in a fast-changing startup environment.

Responsibilities

• Build and ship end-to-end AI product experiences from problem discovery through launch and iteration.
• Develop customer-facing interfaces, backend APIs, data models, agent tools, and integrations as a single product.
• Design agent workflows combining models, context, memory, business rules, and deterministic services.
• Collaborate with restaurant operators and internal teams to diagnose failures and translate feedback into capabilities.
• Integrate with POS, reservations, messaging, and external systems while handling imperfect data.
• Develop evaluations, instrumentation, guardrails, and feedback loops to measure probabilistic behavior.
• Improve latency, reliability, accuracy, usability, and cost across the full stack.
• Lead architecture discussions, tests, security reviews, and PRs to maintain quality.

Skills

Python

Backend engineering

TypeScript/React

LLMs / AI models

APIs and data models

Testing & observability

Security & reliability

Full-stack collaboration

Tools

FastAPI

PostgreSQL

AWS

TypeScript

React

Next.js

LiveKit

Job description

We are looking for a product-focused AI Software Engineer to turn advances in AI into restaurant products that work reliably in the real world. You will build across customer-facing experiences, backend services, agent workflows, integrations, and evaluation systems. The job begins with a customer or product problem and ends when the solution is operating successfully in production—not when a model call works locally.

You may work on voice ordering, reservations, catering, restaurant operations, client configuration, analytics, or entirely new agent capabilities. You will collaborate directly with product, design, customer-facing teams, and restaurant operators; make fast product and technical tradeoffs; and own the quality of the resulting experience.

Our stack includes Python and FastAPI services, PostgreSQL, TypeScript, React and Next.js applications, real-time voice agents built with LiveKit, cloud infrastructure on AWS, and modern LLM, speech, and multimodal providers. Exact stack match is less important than full-stack range, product judgment, and a record of shipping.

What you’ll own

• Build and ship end-to-end AI product experiences from problem discovery and prototype through launch, measurement, and iteration.
• Develop customer-facing interfaces, backend APIs, data models, agent tools, and integrations as one coherent product.
• Design agent workflows that combine models, context, memory, business rules, deterministic services, and human escalation.
• Work directly with restaurant and internal users to understand failures, uncover unmet needs, and convert feedback into reusable product capabilities.
• Integrate with POS, reservation, messaging, telephony, and other external systems while handling imperfect data and real operational constraints.
• Build evaluations, instrumentation, guardrails, and feedback loops so probabilistic behavior can be measured and improved.
• Improve latency, reliability, accuracy, usability, and cost across the full experience—not only within one layer of the stack.
• Use AI-native development workflows to prototype and deliver quickly while retaining ownership of architecture, tests, security, and correctness.
• Participate in product and technical planning, make tradeoffs explicit, and drive decisions when the path is ambiguous.
• Raise the quality of nearby systems through code review, documentation, design discussion, and pragmatic refactoring.

• 3+ years of industrial experience in relevant technical domain.
• Strong software engineering fundamentals and experience shipping production web or platform products.
• Depth in either Python/backend engineering or TypeScript/React frontend engineering, plus the ability and desire to work effectively across the full stack.
• Experience building with LLMs, speech models, computer vision, or agent systems beyond a toy prototype.
• Product judgment: you can simplify scope, identify the highest-leverage user problem, and distinguish an impressive demo from a valuable product.
• Experience designing APIs, data models, asynchronous workflows, and integrations with external systems.
• A strong quality bar for testing, observability, security, reliability, and user experience.
• Comfort working directly with users and operating in a fast-changing startup environment.
• AI-native working habits paired with independent technical judgment.

• Competitive Salary and Stock Option Plan.
• Medical, dental, vision, retirement, leave, and disability benefits as applicable.
• Family Leave
• Short Term & Long Term Disability
• Paid time off and company holidays.
• Learning and development support.