AI engineer

Soho Square Solutions; Montreal (administrative region); Hybrid; CAD 90,000 - 140,000; Full time

Job summary

Soho Square Solutions in Montreal is seeking a Backend-focused Software Engineering Consultant to design, build, and deploy scalable services and data-driven features.

You will work in a hybrid model, collaborating with architects, data teams, and clients to translate requirements into robust implementations using Python and LLM-driven capabilities.

Qualifications

• 3–5 years of software development or consulting experience.
• Proficiency in Python with a framework (FastAPI, Flask, or Django) and knowledge of Node.js/TypeScript.
• Experience designing REST APIs and microservices with auth and service-to-service integration.
• Experience with Git workflows, CI/CD, and automated testing.
• Hands-on Snowflake experience and data integration.
• Experience integrating LLMs via hosted APIs or AI platforms.
• Strong debugging, communication, and problem-solving skills.

Responsibilities

• Design, build, and maintain backend services, REST APIs, and integrations using Python (FastAPI, Flask, or Django); some Node.js/TypeScript as needed.
• Build distributed services in a microservices architecture with token-based auth and RBAC.
• Integrate internal apps with third-party systems, external APIs, and Snowflake (data access, transformation, integration).
• Develop LLM-powered features: model APIs, prompt workflows, structured outputs, and retrieval-based (RAG) applications.
• Write clean, modular, secure code with unit, integration, and automated tests.
• Participate in code reviews, Git workflows, and CI/CD pipelines.
• Troubleshoot application, integration, data, and production issues.
• Collaborate with architects, engineers, data teams, product owners, and clients; translate requirements into implementation plans and clear technical documentation.

Skills

Python

REST API design

Microservices

Auth & RBAC

CI/CD

Automated testing

Snowflake

LLMs

Git workflows

Communications

Tools

FastAPI

Flask

Django

Node.js/TypeScript

Job description

Software Engineering Consultant - Backend, Data & AI

Location: Montreal -Hybrid-3 days onsite in a week

Years of experience: 3-5

Role Overview

Backend-focused consultant with hands-on data platform and LLM experience to design, build, and deploy scalable services and integrations for business-critical applications. Strong Python skills, production-ready coding standards, and effective collaboration in a client-facing consulting environment.

Key Responsibilities

• Design, build, and maintain backend services, REST APIs, and integrations using Python (FastAPI, Flask, or Django); some Node.js/TypeScript as needed.
• Build distributed services in a microservices architecture with token-based auth and role-based access controls.
• Integrate internal apps with third-party systems, external APIs, and Snowflake (data access, transformation, integration).
• Develop LLM-powered features: model APIs, prompt workflows, structured outputs, and retrieval-based (RAG) applications.
• Write clean, modular, secure code with unit, integration, and automated tests.
• Participate in code reviews, Git workflows, and CI/CD pipelines.
• Troubleshoot application, integration, data, and production issues.
• Collaborate with architects, engineers, data teams, product owners, and clients; translate requirements into implementation plans and clear technical documentation.

Required Qualifications

• 3-5 years of software development or consulting experience.
• Strong Python proficiency with at least one framework (FastAPI, Flask, or Django); working knowledge of Node.js/TypeScript.
• Solid grasp of REST API design, microservices, auth, and service-to-service integration.
• Experience with Git workflows, CI/CD, and automated testing.
• Hands-on Snowflake experience (data migration, querying and app integration).
• Proficiency integrating LLMs via hosted model APIs or enterprise AI platforms.
• Strong debugging, communication, and problem-solving skills; able to work independently and within multidisciplinary teams.