Kora is a Toronto-based, VC-backed startup building an intelligent assistant for busy families. Our product combines a mobile app with a dedicated smart home display to help families manage schedules, chores, shopping, meals, and everyday responsibilities. We are building an assistant that understands family context, remembers what matters, anticipates what needs attention, and takes action to help families get things done.

You will work directly with the founders to build Kora’s core intelligence and shape how the assistant behaves in everyday life. We are looking for an AI engineer with strong backend development skills to build and improve Kora’s core assistant capabilities. Your work will include prompts, orchestration, memory, integrations, evaluations, and the services that run these workflows.

You should enjoy turning emerging AI capabilities into useful product features and making them dependable enough for real users. The prompts, tool definitions, control flow, and execution harness that enable Kora to complete tasks across multiple steps. Systems that help Kora understand people, preferences, schedules, responsibilities, and ongoing commitments.

Workflows that detect changes, conflicts, preparation needs, and deadlines, then decide when and how to help. Support for requests through chat, voice, images, and forwarded information. Tools to understand agent behavior, measure quality, investigate failures, and improve performance.

Own AI features from initial design and prototype through production deployment and iteration. Develop and refine system prompts, context assembly, structured outputs, and tool-calling behavior.

Build

Python backend services that connect models, application data, and external integrations. Improve response quality, latency, and inference cost. Collaborate with mobile and device engineers to deliver a consistent assistant experience. Help decide when to use an LLM, a deterministic workflow, or a combination of both.

Strong





Python skills and experience building backend services, APIs, and database-backed applications. Hands‑on experience building an LLM‑powered application beyond a basic tutorial.

Experience shipping software and diagnosing problems in production. Ability to reason about asynchronous tasks, application state, error handling, and data consistency. A systematic approach to testing AI behavior and evaluating whether changes actually improve the product.

Regular use of AI development tools, with ownership of the quality and correctness of the resulting code. Production AI agents or workflows that execute actions through external tools. PostgreSQL, Firebase, GCP, or similar infrastructure.

Agent evaluations, tracing, monitoring, and regression testing. Handling untrusted inputs, prompt injection, and permissions in AI applications. We value strong engineering fundamentals, practical judgment, and evidence of building practical things.

You do not need experience with every framework or technology listed. Build the core intelligence of a consumer AI product. Connect AI capabilities to mobile software and a physical product in people’s homes.

Take substantial ownership and grow with an early‑stage, VC‑backed company. AI-native from day one

Kora is a fully AI-native company. AI coding agents are central to how we research, build, debug, test, and ship software. Use agentic coding workflows to deliver complete features, from planning and implementation through testing and review.

Give coding agents clear context, break complex problems into manageable tasks, and guide their work across an existing codebase. Use AI tools to investigate bugs, explore unfamiliar code, refactor systems, and automate repetitive development tasks. Critically review generated code, verify its behavior, and take responsibility for correctness, security, and maintainability.

We look for practical experience using coding agents to ship working software, alongside the engineering judgment to recognize when their output needs correction. #

📌 AI Engineer — Agents & Backend (Toronto)
🏢 KoraHome.ai
📍 Toronto