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Principal Software Developer

Job in Montréal, Province de Québec, H2B, Canada
Listing for: Solace
Full Time position
Listed on 2026-10-17
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect, Cloud Engineer - Software, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 155000 CAD Yearly CAD 155000.00 YEAR
Job Description & How to Apply Below
Solace helps companies connect and integrate all of their assets through the power of event-driven architecture. Our technology makes it easy to unlock data silos and capture events occurring across large enterprises; stream information about those events everywhere it needs to be in real-time; and give the apps, AI agents and people who receive it the power to immediately react with decisive actions and smart decisions.

Many of the world’s biggest companies trust Solace to modernize their IT infrastructure by embracing trends like AI, cloud and IoT so they can create awesome experiences for their customers, partners and employees.

So, the next time you drive a car, order furniture online, fly in a plane, check your bank balance on your phone, your positive experience could be a direct result of our technology—and your hard work!

Overview
This position is for a Principal Software Developer - AI Integration. In this role you will be a key technical leader working on the Solace Agent Mesh: an event-driven Integration and Orchestration Platform for Agentic AI that securely connects, orchestrates, and scales AI agents in real-time. You will take a pivotal role in blending advanced AI technologies with our core products as well as our internal tooling.

Your expertise will help us create smarter, more intuitive systems that redefine user interaction and operational efficiency. You will collaborate closely with various teams, providing technical leadership and innovative solutions that push the boundaries of what is possible.

Are You Someone Who

Has a passion for AI and Agentic AI with deep understanding of Large Language Models (LLMs), multi-agent systems, and AI orchestration patterns?

Thrives on solving complex integration challenges in distributed AI systems?

Has experience building event-driven architectures and real-time streaming platforms?

Enjoys mentoring and leading technical teams while driving architectural decisions?

Values innovation, collaboration, and delivering exceptional customer experiences?

Is humble, honest and open?

What You'll Do

Lead AI Integration Architecture:
Design and implement robust integration patterns for AI agents, LLMs, and machine learning workflows within the Solace Agent Mesh platform

Drive Technical

Innovation: Research and prototype emerging AI technologies, evaluation frameworks, and integration patterns to keep Solace at the forefront of AI innovation

Develop Core Platform Features:
Build scalable, reliable, and secure components for agent communication, orchestration, and real-time data streaming in AI environments

Mentor and Lead:
Provide technical leadership and mentorship to development teams, conducting code reviews and establishing best practices for AI integration development

Collaborate Cross-Functionally:
Work closely with stakeholders to translate business requirements into technical solutions

Ensure Quality and Performance:
Implement comprehensive testing strategies, performance optimization, and monitoring for AI-driven systems

Stay Current:
Stay ahead of AI technology trends and advancements, applying this knowledge to drive continuous innovation at Solace.

What You Bring

Advanced AI/ML Expertise: 10+ years of software development experience with 3+ years specifically in AI/ML systems, LLMs, RAG, and agent-based architectures

Programming Excellence:
Expert-level proficiency in Python, Java (Spring Boot), and JavaScript/HTML (React); with experience in AI frameworks and tools (A2A/ADK, Lang Chain, CrewAI, Auto Gen)

Integration Architecture:
Deep experience with event-driven architectures, message brokers, API design, and microservices in distributed AI environments

Cloud and

Infrastructure: Hands-on experience with cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and infrastructure-as-code

AI Operations:
Understanding of MLOps practices, model deployment, monitoring, and lifecycle management in production environments

Technical Leadership:
Proven track record of leading technical teams, mentoring engineers, and driving complex technical projects to completion

Communication

Skills:

Excellent written and verbal communication skills with ability to explain complex technical concepts to diverse audiences

Experience with vector databases, embedding models, and retrieval-augmented generation (RAG) systems

Nice To Have

Knowledge of real-time streaming technologies (Apache Kafka, Pulsar, or Solace Pub Sub+)

Background in distributed systems, high-availability architectures, and…
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