Artificial Intelligence & Machine Learning Engineer - Expert

• Location: Toronto, ON - Hybrid (on-site 2 to 3 times a week)
• Pay Rate: $81.71/hr - $96.48/hr
• Contract Length: 5 Months with possibility for extension
  
  

We at Raise are hiring an Artificial Intelligence & Machine Learning Engineer—Expert for one of our top clients. After establishing themselves as an industry leader, they’re now expanding their team to meet rising demand. We’re hiring right now; if you’re interested, apply below for your chance to join a great place to work.

Responsibilities

• Review workload in Jira and commit to daily goals
• Develop and deploy thoroughly tested features
• Work with subject matter experts to understand problems that need solving and work together to propose well-designed solutions
• Stay up to date on recent Agentic AI trends and frameworks, and discuss them with the team to influence direction.
• Debug, test, and fix issues identified in agents. Research and propose changes to our processes to prevent such issues from recurring
• Engage with the wider Agentic AI community to understand enterprise direction and best practices.
  
  

Must-Have Skills

• Bachelor’s degree in Computer Science or Engineering
• Strong Python (or equivalent modern language) engineering skills.
• Deep understanding of language performance and internals (e.g., GIL, concurrency tradeoffs, memory constraints). These agents need to process a large volume of data. They also need to conclude their investigation in a reasonable amount of time. The candidate will need enough experience to identify bottlenecks in a specific technology as well as the wider system design
• Proven experience building production-grade AI agents. The candidate must have deployed working AI agents to production with proven results. Just having done demos or side projects is not sufficient. They must have experience not just building but also evaluating agents for correctness.
• Thorough understanding of LLMs and agentic systems. The candidate is expected to start implementing immediately. They must already have a deep understanding of how to work with LLMs and their limitations. They must also be familiar with the various components of agentic systems.
• Strong context engineering skills. Not just prompt engineering. The candidate must already know how to curate, compress, and structure large data sets for effective LLM use.
  
  

Nice-to-Have Skills

• Experience with cybersecurity tools (CrowdStrike, Splunk, Mandiant, etc.)
• Familiarity with multiple agent frameworks (Claude Agent SDK, LangGraph, AutoGen, custom systems, etc.)
• Experience evaluating tradeoffs between agentic frameworks vs. custom orchestration.
  
  

Looking for meaningful work? We can help!

Raise is an established hiring firm with over 65 years of experience. We believe strongly in making the world a better place through work, which is why we’re a certified B Corporation and donate 10% of our profits to charity.

We strive to build teams that reflect the diversity of the communities we work in. We encourage all qualified applicants to apply, including people from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with visible/nonvisible disabilities.

We have a dedicated webpage for accommodations where you can learn more about what we offer and request accommodation: https://raise.jobs/accommodations/

In order to submit candidates for roles, our clients will sometimes require personal information to confirm the identity of applicants and their legal status to work. Raise will never ask you for personal or banking information unless you have been selected for a job. If you are ever unsure about the legitimacy of this or another job posting by Raise (or have any other questions), please contact us at +1 800-567-9675 or [email protected]

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