Title: Staff Software Engineer - AI-native Development & Agentic Systems

Position Type : Contract

Location : Toronto, ON

Working model : Flexible Hybrid work model - 1 to 3 days per week in office

Engagement Model: Professional Services Engagement – B2B (Incorporated Entities Only)

About the Engagement:

Akkodis is partnered with a global leading IT Service & Technology firm who specialize in AI and cloud-based data solutions across North America here in Toronto.

We're looking for Senior Engineers with at least 10+ years of experience building and shipping production systems, who have a passion and proven hands-on expertise leveraging AI & Agentic systems to aid in the development and delivery of software engineering solutions and applications.

You'd be joining a new team who are looking to build a new delivery model centered around small teams, senior talent, high autonomy, and AI-accelerated execution, If successful, it has the potential to reshape how software is built across the organization.

Services to be Provided:

Own Delivery End-to-End

- Take client problems from scoping through architecture, build, deployment, and iteration. You’re not waiting for a spec.
- Deliver production-grade applications across the stack: React/TypeScript frontends, Node.js or .NET APIs, Azure cloud services, data pipelines on Databricks.
- Use AI-assisted workflows (Claude Code, Copilot, Cursor, whatever works) to compress timelines. The expectation isn’t that you use specific tools—it’s that you ship fast without sacrificing quality.

Design & Build Agentic Systems

- Architect and build autonomous agent systems that can reason, plan, use tools, and take actions in real-world workflows—not just chatbot wrappers.
- Design agent orchestration patterns: multi-agent coordination, human-in-the-loop checkpoints, tool use, memory, and context management.
- Build the infrastructure that supports agentic deployment: evaluation frameworks, guardrails, monitoring,



and observability for systems that act on their own.
- Stay close to the frontier. The tooling is moving rapid (LangGraph, CrewAI, Autogen, custom orchestration). You should have opinions about what works and what doesn’t.

Multiply the Team

- Build reusable accelerators—deployment pipelines, security patterns, API scaffolding, agent frameworks—that compound across engagements.
- Raise the engineering bar on projects you touch. Code review, architecture guidance, and pattern-setting, not just your own output.
- Help less experienced engineers get better at using AI tooling effectively. Not through training decks—through working alongside them.

Prototype and Prove Things Out

- Turn business ideas into working prototypes quickly enough that stakeholders can react to real software, not slides.
- Build proof-of-concepts, internal tools, dashboards, and client-facing portals. Some will ship; some will inform decisions. Both matter.
- Generate architecture options, technical documentation, and solution accelerators using AI—then apply judgment about which option is actually right.

Expertise Required :

What We’re Looking For

- 10–15+ years of professional software engineering experience, with meaningful time spent building and shipping production systems.
- Strong full-stack fundamentals: React/TypeScript, Node.js or .NET, REST APIs, microservices, relational and document databases.
- Working experience with Azure cloud services (or equivalent depth in AWS/GCP with willingness to context-switch).
- Proven, practical use of AI development tools (Claude Code, Copilot, Cursor, or similar)



in actual delivery—not just experimentation.
- Experience designing or building agentic AI systems: autonomous agents, multi-agent orchestration, tool-use architectures, or agent evaluation frameworks.
- Familiarity with data engineering concepts and platforms (Databricks, Spark, or similar) sufficient to build data-aware applications.
- Ability to work independently with minimal direction. You should be comfortable with ambiguity and confident making architectural decisions without a committee.

Preferred

- Experience with agent orchestration frameworks (LangGraph, CrewAI, Autogen, Semantic Kernel, or custom implementations).
- Experience with MuleSoft or enterprise integration platforms.
- Hands-on work with LLM APIs, prompt engineering, RAG pipelines, and fine-tuning workflows.
- Familiarity with DevOps practices, CI/CD pipelines, and infrastructure-as-code.
- Experience building internal developer tools or productivity accelerators.
- Background in consulting or client-facing delivery environments.

How to Apply If you are interested in learning more, don't hesitate to apply today or check out Akkodis Canada website for more opportunities.

Important

This is a business-to-business engagement. Candidates must represent an incorporated entity, hold a valid business number, maintain appropriate insurance, and invoice for services rendered.

We thank all applicants for their interest in this opportunity. Only candidates meeting the above qualifications will be contacted for further discussions.

Accessibility

At Akkodis, part of The Adecco Group, our purpose is simple: to make the future work for everyone. We live our values, Passion, Collaboration, Inclusion, Courage, and Customers at Heart, by fostering a workplace where diversity is celebrated and every voice matters. We encourage applications from individuals of all backgrounds and identities. Together, we’re making the future work for everyone.

📌 Staff Software Engineer - AI-native Development & Agentic Systems (Toronto)
🏢 Akkodis
📍 Toronto