Hybrid Full-Stack AI Engineer — Build Conversational Agents

Blanc-Labs; Toronto; Hybrid; CAD 90,000 - 130,000; Full time

Job summary

Blanc Labs is seeking a Software Engineer to help build across the stack—from backend services to web interfaces and AI agents. You will contribute to features used by real clients and enterprise partners, with ownership from idea to production.

The role emphasizes working with Python, React, TypeScript, and AI-enabled workflows in a hybrid setup in downtown Toronto, requiring 2–3 days in the office weekly.

Qualifications

• 2–5 years of professional software engineering experience with production code.
• Proficient Python (asyncio, FastAPI or similar).
• Experience with React and TypeScript.
• Comfort with PostgreSQL, SQL and migrations.
• Hands-on experience building with LLMs.
• Working knowledge of Docker and a major cloud platform (Azure preferred).
• Strong problem-solving and learning mindset.

Responsibilities

• Build and ship features across the platform: backend services, APIs, and the Next.js interfaces our team and clients use.
• Develop agent capabilities, including prompt assembly, tool and function calling, streaming responses, and conversation state.
• Integrate real-time voice and messaging channels (telephony, SMS, web) alongside our technical lead.
• Design data models and migrations with care for consistency and safe change.
• Build background jobs and outbound processing with clear retry and failure handling.
• Instrument services with logging, metrics, and tracing, and debug issues end to end, from the interface to the live conversation.
• Bring ideas to the roadmap and prototype new agent capabilities.

Skills

Python (asyncio)

React

TypeScript

LLMs

SQL

PostgreSQL

Docker

Azure

Tools

Next.js

WebRTC

Job description

Blanc Labs is seeking a Software Engineer to help build across the stack—from backend services to web interfaces and AI agents. You will contribute to features used by real clients and enterprise partners, with ownership from idea to production.

The role emphasizes working with Python, React, TypeScript, and AI-enabled workflows in a hybrid setup in downtown Toronto, requiring 2–3 days in the office weekly.