AI Engineer Contract Length: 6 Months, with a strong likelihood of extension Raise is currently hiring an AI Engineer on behalf of our client. 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. 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. 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 Contribute to AI engineering standards and reusable development patterns Remain current with developments in LLMs and generative AI 5+ years of professional software development experience ~2+ years of experience developing agentic AI or LLM-powered applications ~ Solid Python development experience ~ Hands-on experience building applications with LLMs ~ Experience with LangGraph, LangChain, or a similar AI application framework ~ 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 with automated testing, Git, and CI/CD practices ~ Understanding of data privacy, AI safety, and responsible AI principles ~ Experience working with Agile methodologies ~ Experience with vector databases such as Vertex AI Vector Search, Pinecone, pgvector, or Supabase ~ Experience with Docker and containerized deployments ~ Experience in retail, e-commerce, loyalty, customer service,



or supply-chain environments ~ Personal Skills & Qualities ~ Ability to communicate AI concepts to technical and non-technical stakeholders ~ Commitment to building reliable, secure, and responsible AI solutions ~ 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 professional 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 Candiates will be working a hybrid schedule of 4 days per week a t the clients Toronto Downtown site or the clients Brampton site We can help! 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. 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.

📌 AI Engineer (Remote) (Toronto)
🏢 Ian Martin Group
📍 Toronto