About PureFacts Financial Solutions
PureFacts is the leader in the Revenue Performance Management category for wealth and asset management firms. The PureRevenue™ Platform helps organizations maximize revenue potential by connecting pricing, billing, compensation, advisor behavior, and AI-powered intelligence within a single Revenue Book of Record. By transforming fragmented revenue processes into a coordinated growth system, firms gain greater visibility, stronger pricing discipline, improved revenue capture, and more effective advisor alignment. The result is faster organic growth, improved profitability, and increased enterprise value. For more than 25 years, PureFacts has helped leading financial institutions turn revenue from an operational process into a strategic advantage.
At PureFacts, we are building an AI-native platform and company. We embed AI, intelligent automation, and agentic workflows across our products and operations to detect anomalies, surface insights, streamline repetitive work, and support faster, better decision-making. In a highly regulated industry, we believe AI must be practical, governed, and auditable—amplifying human expertise while helping our teams and clients focus on higher-value, strategic work.
About the role
The AI Engineer (LLM/Agent) will own the conversational layer that describes Purefacts’ ML model outputs to end users, develop a “Revenue Assistant” Agent from R&D through to prototype, and design context architecture grounded in client-specific pricing data. Builds evaluation and safety frameworks. This role sits at the intersection of machine learning, software engineering, and product, focusing on building intelligent systems that can reason, automate workflows, and augment human decision-making.
You will play a key role in advancing PureFacts’ AI-first strategy, developing AI-powered copilots, agents, and automation tools that reduce manual work, improve productivity, and deliver meaningful client value.
What you'll do
LLM & Agent Development
Design and build LLM-powered applications and AI agents for both internal and client-facing use casesDevelop solutions such as:AI copilots for internal teams and clientsIntelligent workflow automation agentsNatural language interfaces for data and reportingImplement prompt engineering, tool usage, and agent orchestration frameworksAI-First Automation & Use Cases
Identify opportunities to replace manual processes with AI-driven automationBuild systems that enable users to interact with complex data through natural languageDevelop AI solutions that enhance:Revenue insights and analyticsClient reporting and communicationOperational efficiency across workflowsSystem Design & Integration
Integrate LLMs into PureFacts’ SaaS platform and data systemsBuild APIs and services to support AI-powered featuresWork with data and engineering teams to ensure secure, scalable, and reliable integrationsRetrieval-Augmented Generation (RAG) & Data Integration
Design and implement RAG pipelines using structured and unstructured data sourcesWork with:Vector databases (e.g., Pinecone, Weaviate)Embedding models and semantic searchEnsure accurate, relevant, and context-aware outputs from AI systemsEvaluation, Testing & Optimization
Develop frameworks to evaluate LLM outputs for quality, accuracy, and reliabilityContinuously optimize prompts, models, and workflowsMonitor system performance and implement improvementsAI Infrastructure & Tooling
Leverage and integrate tools such as:OpenAI, Azure OpenAI, or similar LLM providersLangChain, LlamaIndex, or agent frameworksAPIs, microservices, and cloud infrastructureCollaborate with MLOps to ensure scalable and maintainable deploymentsResponsible AI & Governance
Ensure AI solutions are secure, compliant, and aligned with responsible AI principlesAddress:Data privacy and securityModel hallucination and reliabilityExplainability and transparencyCross-Functional Collaboration
Partner with Product, Engineering, and Client teams to translate AI capabilities into business valueHelp stakeholders identify opportunities to increase efficiency and reduce manual effortCommunicate technical concepts in a clear, practical wayQualifications
Experience1-3 years of LLM application development - RAG pipelines, vector databases, agent orchestration (tool-use, multi-step reasoning)Experience with evaluation frameworks for generative AI, and in putting guardrails/safety in regulated contextsFamiliar with agent frameworks (LangGraph or similar)Hands-on experience building LLM-based applications or AI agentsExperience in SaaS, fintech, or data-driven environments is preferredTechnical Skills
Strong programming skills in Python (required)Experience with:LLM APIs (OpenAI, Azure OpenAI, Anthropic, etc.)Prompt engineering and agent frameworks (LangChain, LlamaIndex, etc.)APIs and microservices architectureData processing (SQL, Python data libraries)Familiarity with:Vector databases and embeddingsCloud platforms (AWS, Azure, GCP)AI & Agent Expertise
Experience building:Retrieval-Augmented Generation (RAG) systemsMulti-step agent workflowsTool-using agents and automation systemsStrong understanding of:LLM limitations and optimization techniquesEvaluation methods for generative AIAutomation & Product Mindset
Passion for using AI to automate workflows and eliminate low-value workAbility to translate AI capabilities into practical, high-impact solutionsStrong focus on user experience and real-world applicationCommunication & Collaboration
Ability to work across technical and non-technical teamsStrong problem-solving and systems thinking skillsClear communication of complex AI conceptsEducation
Degree in Computer Science, Engineering, Data Science, or related fieldAdvanced degree is a plus but not requiredKey Success Metrics
Deployment of AI-powered copilots and agents into productionReduction in manual effort through AI-driven automationAdoption and usage of AI features by internal teams and clientsQuality, reliability, and accuracy of AI-generated outputsSpeed of development and iteration of AI solutionsPI0e1ba475cf6d-30511-41333475
Copy of AI Engineer • Toronto, Ontario, Canada, M2N 5S4
Food has lost its soul to modern convenience.And with it, it has lost the power to nourish, inspire, and connect us.So in 2018, CookUnity was founded as the first‑of‑its‑kind platform that connects... Show more
Become part of Cohere as an Engineer focusing on the Agents & Automations within our AI platform.Help reshape how enterprises leverage AI in a flexible, remote-first workplace.Cohere, the forefront... Show more
Specialist Advisor to join our team in Toronto, Ontario (CA-ON), Canada (CA).The AI Architect will design and build agentic AI systems for multiple domains such as Healthcare, Finance, Retail, etc.... Show more
Elevate QEA’s building intelligence initiatives as an AI Engineer focused on revenue systems.Your role will drive AI system deployment across sales, marketing, and product workflows.This senior rol... Show more
Seize the opportunity to shape the future of technology with our AI Engineer position focusing on AWS serverless and generative AI solutions.Enhance developer productivity through innovative AI app... Show more
Join a project focused on advancing an AI‑powered influencer marketing platform by optimizing and scaling its data pipeline.The primary objective is to enhance the performance, cost‑efficiency, and... Show more
We founded Simple Ventures (SV) with the mission of building great Canadian companies.Our thesis is simple: Canada is overlooked and under-appreciated.Most companies around the world ignore Canada ... Show more
Shape the future of AI at RBC as a Senior Staff Engineer focused on agentic AI solutions in Toronto.Utilize your expertise to develop innovative applications on the Borealis platform.In this role, ... Show more
Join Synechron as an AI Engineer specializing in Generative AI.Leverage your advanced skills in machine learning to innovate solutions for capital markets.As a vital contributor, you will focus on ... Show more
Elevate interactive entertainment as a Research Engineer focusing on Large Language Models at Electronic Arts.This impactful role allows you to pioneer groundbreaking applications for gaming techno... Show more
Senior Machine Learning Engineer.Direct message the job poster from MIR Digital Solutions.At MIR Digital, we’re more than a company - we’re a collective of innovators, builders, and change-makers.W... Show more
Be at the forefront of AI technology by developing innovative agents that drive business efficiency and enhance customer satisfaction.In this role, leverage your skills to implement AI solutions th... Show more
Join OpenSesame as an AI engineer to design and scale the backend behind our SMS-based AI agents, powering real customer and operational workflows across insurance, from quoting and underwriting to... Show more
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us.If you want to be part of an inclusive, adaptable, and forward‑thinking organization, apply now.... Show more
Join Pinterest as a Data Engineer II and innovate with data in a hybrid work model.This role involves utilizing AI to improve data processes and deliver insights to enhance business strategies.As a... Show more
Take on a pivotal role at Sagard as a Forward Deployed Engineer specializing in AI infrastructure.Help drive innovative AI solutions within our investment framework.As part of the AI team at Sagard... Show more
At BioRender, we don’t settle for average, and neither should you.We’re building tools that transform how scientists communicate complex ideas, and we need someone who’s ready to turn ambitious ide... Show more
Lead the charge in operationalizing AI as a Sales Engineer committed to client success.Merge technical expertise with business insights to turn complex ideas into effective systems in a hybrid work... Show more
Leverage your AI expertise at Pulsora as a Remote Engineer focused on developing impactful AI applications.This full-time role prioritizes cutting-edge technology for sustainability efforts.As part... Show more
We are looking for a Staff-level Forward Deployed AI Engineer to design, build, and deliver AI-powered applications that create measurable business impact.This is a hands‑on engineering role with s... Show more
