AI Engineer at Guidepoint

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

05 May, 26

Salary

0.0

Posted On

04 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Systems, Generative AI, Python, REST APIs, LangChain, LangGraph, Large Language Models, Prompt Engineering, RAG Systems, Elasticsearch, MLflow, Asynchronous Processing, Kubernetes, Debugging, CI/CD, Observability

Industry

Information Services

Description

Overview: Guidepoint is seeking an AI Engineer II to join our Toronto-based AI team. The Toronto Technology Hub is home to our AI/ML and Data organization, focused on building a modern, responsible AI platform that powers Guidepoint’s research enablement products and enterprise intelligence. In this role, you will build and operate AI systems and agents that support compliance, editorial workflows, and intelligent automation. You will work hands-on with Generative AI agents, production-grade APIs, and scalable data pipelines, contributing to their reliability, quality, and long-term operation in production. This is a hybrid position based out of Toronto. What You’ll Do: Design and implement AI systems and agents that automate compliance and editorial workflows in support of research enablement. Design and implement agent workflows using frameworks such as LangGraph and LangChain. Build agents that perform intent interpretation, task decomposition, tool use, web search, and human-in-the-loop escalation. Build and operate production-grade REST APIs to serve AI and agent capabilities. Develop and maintain scalable data pipelines and background workers that support AI workloads and agent execution. Design and maintain retrieval-augmented generation (RAG) pipelines using embeddings, Elasticsearch, structured data, and web-based sources. Develop and maintain automated evaluation pipelines for agent behavior and outputs using MLflow and related tooling. Improve agent reliability, latency, and cost through prompt engineering, prompt management techniques, and workflow optimization. Integrate agents with internal services, APIs, data stores, and asynchronous workers using queues such as RabbitMQ or Redis. Monitor and operate agent systems using observability platforms such as Datadog, including alerting and incident response. Debug and mitigate agent failure modes such as hallucinations, tool misuse, and state or orchestration errors. Manage the full lifecycle of agent systems and supporting APIs, from implementation through deployment and long-term operation using CI/CD pipelines and Kubernetes. What You Have: 3–5 years of professional experience designing, building, and operating production-grade backend systems, including 2+ years of hands-on experience building and operating Generative AI and agent systems in production. Strong Python engineering skills, with experience building scalable REST APIs using frameworks such as FastAPI, and working knowledge of JavaScript and Node.js. Hands-on experience building and maintaining agent-based AI systems in production using frameworks such as LangChain or LangGraph. Experience working with large language models from providers such as OpenAI, Anthropic, or Google Gemini, including prompt engineering and tool integration. Practical experience building and operating RAG systems using embeddings and retrieval systems such as Elasticsearch. Experience evaluating AI or agent systems beyond manual testing, including automated or programmatic evaluation using tools such as MLflow. Familiarity with asynchronous processing and workers using technologies such as RabbitMQ or Redis. Experience with monitoring, alerting, deployment, and CI/CD pipelines in cloud-native environments using Kubernetes. Comfortable owning systems independently, including debugging, on-call support, and iterative improvement in production. What We Offer: Paid Time Off Comprehensive benefits plan Company RRSP Match Development opportunities through the LinkedIn Learning platform About Guidepoint: Guidepoint is a leading research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we help our clients to turn answers into action. Backed by a network of nearly 1.75 million experts and Guidepoint’s 1,600 employees worldwide, we inform leading organizations’ research by delivering on-demand intelligence and research on request. With Guidepoint, companies and investors can better navigate the abundance of information available today, making it both more useful and more powerful. At Guidepoint, our success relies on the diversity of our employees, advisors, and client base, which allows us to create connections that offer a wealth of perspectives. We are committed to upholding policies that contribute to an equitable and welcoming environment for our community, regardless of background, identity, or experience. #LI-EB1 #LI-Hybrid

Responsibilities

The AI Engineer II will design and implement AI systems and agents that automate compliance and editorial workflows. They will also build and operate production-grade REST APIs and develop scalable data pipelines to support AI workloads.