AI Engineer

Pay Rate: $56.56/hour, depending on experience

Contract Length: 6 Months, with a strong likelihood of extension

Location: Brampton or Toronto, Ontario

Raise is currently hiring an AI Engineer on behalf of our client. They’re expanding their team to meet growing needs, making this a unique prospect to work with an industry leader. Our Client is a technology company that combines decades of industry expertise with next-generation AI technology that helps organizations reinvent how they build, operate and deliver by pairing human ingenuity with agentic systems that scale intelligence across the enterprise.

Note: The primary pay rate is based on T4 classification; however, we will also consider applications from candidates interested in an INC classification, where applicable.

Description
The ideal candidate will be passionate about building reliable and practical AI agents and AI workflows powered by Large Language Models (LLMs). You will use Python, LangGraph, Langfuse, Model Context Protocol (MCP), and Google Cloud to develop AI agents, Retrieval-Augmented Generation (RAG) solutions, and production-ready AI services. You will work in a fast-paced organization using Agile/Scrum methodologies and collaborate with product managers, software engineers, and business stakeholders to deliver AI solutions for customer service and operational requirements.

Responsibilities

Design and develop LLM-powered applications using Python

Build AI agents and workflows using LangGraph

Develop RAG solutions using enterprise data, embeddings, and vector search

Build and integrate MCP servers to connect AI agents with enterprise tools, data, and services

Implement LLM tracing, monitoring, and evaluation using Langfuse

Develop and deploy AI services on Google Cloud

Create APIs and integrations for AI capabilities

Write unit and integration tests to ensure solution quality

Evaluate AI outputs for accuracy, relevance, reliability, and safety

Monitor and troubleshoot AI applications in production

Collaborate with product, engineering, architecture, and business teams

Contribute to AI engineering standards and reusable development patterns

Mentor developers and provide guidance through design and code reviews

Remain current with developments in LLMs and generative AI

Qualifications





5+ years of professional software development experience

2+ years of experience developing agentic AI or LLM-powered applications

Strong Python development experience

Hands-on experience building applications with LLMs

Experience with LangGraph, LangChain, or a similar AI application framework

Experience with Langfuse or another LLM observability platform

Understanding of Model Context Protocol (MCP) and its use in connecting AI agents with tools and enterprise systems

Experience with Google Cloud services such as Vertex AI and BigQuery

Experience building RAG solutions using embeddings and vector search

Experience developing RESTful APIs using FastAPI, Flask, or a similar framework

Understanding of prompt engineering, tool calling, structured outputs, and context management

Experience with automated testing, Git, and CI/CD practices

Understanding of data privacy, AI safety, and responsible AI principles

Experience working with Agile methodologies

Excellent verbal and written communication skills

Desirable Skills and Experience

Hands-on experience developing or integrating MCP servers and clients

Experience with Gemini, OpenAI, Anthropic, or open-source LLMs

Experience with vector databases such as Vertex AI Vector Search, Pinecone, pgvector, or Supabase

Experience with Docker and containerized deployments

Familiarity with event-driven systems such as Pub/Sub

Familiarity with LLM evaluation frameworks

Experience working with high-traffic enterprise applications

Experience in retail, e-commerce, loyalty, customer service, or supply-chain environments

Experience with collaboration tools such as JIRA and Confluence

Personal Skills & Qualities

Self-motivated with a strong team spirit

Strong problem-solving and troubleshooting skills

Ability to work independently and collaborate effectively within a team





Comfortable working with evolving requirements and technologies

Strong sense of ownership and accountability

Ability to manage multiple priorities in a fast-paced environment

Ability to communicate AI concepts to technical and non-technical stakeholders

Commitment to building reliable, secure, and responsible AI solutions

Education and Certifications

Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related quantitative field. Or equivalent practical experience (5+ years of skilled software engineering) combined with a proven track record of deploying production-ready AI applications.

Recommended Certifications Google Cloud Professional Certifications, Google Cloud Certified Professional Cloud Architect or Google Cloud Certified Professional Data Engineer, AI & Machine Learning Certifications

Additional Information
Candiates will be working a hybrid schedule of 4 days per week a t the clients Toronto Downtown site or the clients Brampton site

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 any other Raise job posting (or have any other questions), please contact us at +1 (phone hidden) or [email protected].

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📌 AI Engineer (Ontario)
🏢 Ian Martin Group
📍 Ontario