AI Automation Analyst (Claude)

Join Our Team as an AI Automation Engineer!Aspire Software is excited to welcome an AI Automation Engineer to our vibrant team in Toronto!About the PositionIn this role, you will be instrumental in designing, developing, and deploying AI agents that revolutionize the operations of our portfolio companies or evolve into standalone products that provide value to our customers.This is a hands-on position where you will collaborate directly with teams across Aspire Software, gaining insights into their operations and creating AI solutions to enhance tasks such as customer service, sales outreach, onboarding, and documentation. Your work will not only streamline workflows within Aspire’s portfolio but also contribute to the creation of innovative, revenue-generating products for our clients.About Aspire Software: Aspire Software is a dedicated operating group of Valsoft Corporation, committed to long-term investment in vertical market software businesses. We acquire and nurture software companies with a focus on sustainable growth, autonomy, and lasting value creation. Our mission is to empower vertical market software businesses globally, enabling them to thrive independently.We are open to candidates within commuting distance of our Toronto office, utilizing a hybrid work model!Your ResponsibilitiesDevelop Internal AI Agent TeamsCreate and implement AI agents for operational tasks across Aspire Software and its portfolio, including customer support, sales outreach, onboarding automation, marketing workflows, and engineering maintenance.Assess the impact of your solutions by measuring labor hours saved and increased team output.Engage with portfolio company operators to pinpoint the most valuable automation opportunities.Develop External AI ProductsInnovate AI-driven products like vertical voice agents, AI copilots, workflow automation tools, and AI documentation systems tailored to the needs of Aspire’s vertical markets.Take ownership of the product lifecycle from prototype to launch, ensuring we reach our first paying customers.Launch and EnhanceAccelerate the process from ideation to minimum viable product (MVP) and full production.Conduct beta tests with actual users, gather feedback, and continuously refine your products.Work collaboratively with cross-functional teams, including product management, engineering, and marketing.Your ProfileWhat You BringA proven history of building successful products, tools, or projects that have been launched.

Waabi develops AI-driven technology for autonomous transportation, with a focus on commercial autonomous trucks and robotaxis. The company collaborates with partners across AI, automotive, logistics, and deep tech sectors, and maintains offices in Toronto, San Francisco, Dallas, and Pittsburgh. More information is available at www.waabi.ai. Role overview The Software Engineer - Labelling, Data & Automation position is part of the team responsible for building and maintaining the pipelines, tools, and workflows that move Waabi’s AI-first self-driving systems forward. This group is deeply involved in the training pipeline, focusing on practical and scalable methods to extract important data, generate accurate ground truth labels, and deliver this data to machine learning scientists and engineers. What you will do Develop and maintain data pipelines, tools, and workflows for labelling and automation. Create scalable systems for extracting and preparing data used in AI model training. Collaborate with machine learning scientists and engineers to provide high-quality ground truth data. The team The Labelling & Data Automation team forms the backbone of Waabi’s mission, delivering the infrastructure and tools that enable rapid development and deployment of autonomous vehicle technology.

About ShyftLabsAt ShyftLabs, we are passionate about harnessing the power of data. Since our inception in 2020, we have been at the forefront of helping Fortune 500 companies drive growth through innovative digital solutions that revolutionize industries and deliver measurable business results. Our rapid expansion calls for dedicated problem-solvers eager to transform ambitious concepts into tangible outcomes.The RoleWe invite applications for a visionary Product Manager to spearhead our AI-driven automation projects across both business and engineering workflows. In this pivotal position, you will define and implement intelligent systems designed to minimize manual processes, enhance decision-making capabilities, and fundamentally reshape our operational frameworks. Collaborating closely with data scientists, machine learning engineers, and business stakeholders, you will create scalable, compliant automation products powered by state-of-the-art artificial intelligence.

NetBrain Technologies Inc., established in 2004, develops no-code network automation solutions. The company’s Next-Gen platform supports IT operations teams in managing complex hybrid multi-cloud networks. Features include automated troubleshooting, proactive outage prevention, and secure change management. Over 2,500 enterprises and managed service providers use NetBrain’s technology to improve network operations. Role overview The Senior AI Engineer will design and implement production-ready agent and Retrieval-Augmented Generation (RAG) systems for intelligent automation within the NetBrain platform. This position combines hands-on engineering with architectural planning, focusing on building scalable, observable, and reliable systems in a live environment. The work involves moving quickly from prototypes to deployed solutions, working through ambiguity, and maintaining high standards for quality and safety. Key responsibilities Design and develop core agent platform features, including orchestration patterns such as ReAct and Plan-and-Execute, tool execution layers, memory and context management, and safety controls. Build reusable agent skills and create a standardized tool ecosystem tailored to the platform’s needs. Location This role is based in Toronto, ON, with a hybrid work arrangement.

About SteelSteel is pioneering open-source browser infrastructure designed for AI agents and applications. We empower developers to seamlessly deploy AI products that interact with the web via our Sessions API.With over 6,000 stars on GitHub, a growing customer base, and millions of sessions hosted each month, we achieved a remarkable 50x growth in 2025 driven solely by word-of-mouth and our vibrant open-source community. Supported by leading investors, we're assembling a compact, highly skilled team dedicated to redefining the way humans engage with the digital landscape.Discover the challenges we address: https://docs.steel.dev/overview/intro-to-steelThe RoleWe are on the lookout for an Applied AI Engineer who will play a critical role in defining how AI agents interact with the web. You will develop frameworks, create demos, and enhance the developer experience, making Steel an essential tool for AI creators.Your work will bridge product development, research, and community engagement. You will conduct experiments to determine effective strategies for browser automation with AI, translating findings into frameworks and engaging content that developers appreciate. Collaborating closely with our founding team, you will help set the development agenda, publish research establishing Steel's authority in browser agents, and create demos and integrations that attract thousands of developers to our platform.This role transcends traditional ML engineering or Developer Relations; it encompasses elements of both. You should be comfortable deploying production code, running experiments, and producing educational content for developers. Our team thrives on hard work and rapid pace, and we expect the same dedication from you. Late nights and weekend commitments are part of our journey toward excellence.Sample Projects Could IncludeDeveloping a TypeScript browser agent framework that seamlessly integrates large language models (LLMs), Steel's infrastructure, and developer tools.Conducting experiments to answer crucial developer questions: Which models excel in browser automation? What prompting strategies yield the best results? Which architectures are most effective?Creating open-source demos and applications that illustrate the capabilities of AI agents within Steel's browser infrastructure.Building integrations with AI frameworks such as LangChain and CrewAI, ensuring Steel's compatibility within the broader ecosystem.

About Us:Geotab® is a premier global innovator in IoT and connected transportation, and we are recognized as a certified “Great Place to Work™.” Our diverse team is dedicated to empowering businesses to thrive, enhancing community safety, and promoting sustainability.At Geotab, we are revolutionizing security by connecting commercial vehicles to the internet and offering web-based analytics that empower our customers to optimize fleet management. Our open platform and the Geotab Marketplace®, featuring hundreds of third-party solutions, enable both small and large enterprises to automate processes by integrating vehicle data with other data assets. With billions of data points processed daily, we utilize data analytics and machine learning to boost productivity, reduce fuel consumption, enhance driver safety, and ensure compliance with evolving regulations.We are expanding our team and seeking passionate individuals who embrace challenges and strive to make a meaningful impact. Our vibrant, fast-paced environment fosters innovation and collaboration. Join us to pursue a rewarding career with ample opportunities for growth, generous benefits, and a fun, inclusive workplace culture. Discover what it means to be a Geotabber by visiting our blog and follow us on Instagram. Join our talent network to stay updated on job opportunities.

Rivian and Volkswagen Group Technologies have joined forces to advance the future of electric vehicles. This partnership brings together deep expertise in automotive engineering, software, and cloud connectivity. The focus is on building technology that sets new standards for software-defined vehicles worldwide, with an emphasis on AI, connectivity, and security. Role overview The Senior Software Engineer - AI Platform will lead architectural design and strategic development for the GenAI platform. This position centers on integrating large language models (LLMs) into both internal and customer-facing applications at scale. The aim is to drive cognitive automation, streamline workflows, and support better decision-making across the organization. What you will do Design and develop AI-driven applications using large language models. Integrate LLMs into production systems for both internal teams and external customers. Establish best practices for building distributed systems that are resilient, scalable, and observable. Deliver production-grade tools that are reliable and maintainable. Location This role is based in Toronto, Ontario.

Role Overview Warner Music Group is seeking a Software Engineer focused on Automated Marketing for its Toronto, Ontario office. This role centers on building and refining software solutions that support and advance marketing automation efforts. What You Will Do Design and develop scalable software systems tailored for marketing automation. Work with cross-functional teams to deliver applications that engage audiences and support business goals. Manage and maintain databases that power marketing tools and processes. Integrate various marketing platforms and tools to ensure smooth, reliable workflows. Contribute ideas and technical expertise to shape the direction of automated marketing strategies. Location This position is based in Toronto, Ontario.

Join Affinity as a Senior AI Engineer on our AI Platform team, where you will leverage your expertise in artificial intelligence to drive innovative solutions. In this role, you will collaborate with cross-functional teams to design, develop, and implement AI models that enhance our product offerings. You will work in a fast-paced environment, utilizing cutting-edge technologies to solve complex challenges and improve user experiences.

Join Cloudpipe as a QA Automation Specialist and embark on an exhilarating career focused on designing and implementing cutting-edge automation solutions for our clients. Your role will involve creating and optimizing automation frameworks, enhancing processes, and utilizing advanced toolsets. You will implement innovative automation strategies, measure ROI, and establish supportive teams and processes for sustainable service maintenance. Your focus will encompass both traditional and emerging automation domains, including mobile, agile, and advanced data automation.Key Responsibilities:• Collaborate with project teams, clients, and business stakeholders to define test scopes and create scripts for each testing cycle, along with requisite resource allocation for execution.• Proactively identify and resolve quality and testing challenges throughout the project lifecycle.• Demonstrate strong proficiency with testing tools such as Selenium, HP Quality Centre, LoadRunner (GUI Test Automation Tools), QTP, Performance Centre, Grinder, and JMeter.• Define, write, execute, and review test scripts effectively.• Plan and document software test automation, including test design and execution.• Utilize Java (or another object-oriented programming language) and scripting languages as necessary.• Design and implement advanced Automation Frameworks (e.g., TestNG, Selenium).• Configure and set up supporting automation toolsets.

Join Tenstorrent as an Infrastructure Automation Engineer and be a key player in revolutionizing the way we manage and automate infrastructure. In this role, you will design, implement, and maintain automation solutions that drive efficiencies across our systems and enhance our operational capabilities.

Hello and welcome! Are you on the lookout for an exciting new role, or simply curious about the latest advancements in AI and automation? If so, you've come to the right place! Lightspeed is in search of an AI Enablement Specialist, who will take on a pivotal role as the hands-on advocate for our Enterprise Search & No-Code Agentic AI Platform. Reporting directly to the Head of IT, this hybrid position is designed to bridge the gap between technical implementation and business integration, spearheading the transition towards an Agent-Powered Workforce. Your contributions will include delivering expert training, facilitating advanced technical enablement, and assisting teams in identifying and validating impactful AI use cases through our AI Labs methodology. Your Key Responsibilities: Deliver Level 2/3 technical enablement for intricate issues related to AI agent development, workflow logic, and tool integrations. Support the organization with platform configuration and connector integrations (e.g., Google Workspace, Slack, ServiceNow), ensuring data accuracy and permission fidelity. Build, test, and iterate proof-of-concept (POC) No-Code Agents to showcase feasibility and business value. Manage and prioritize the Agentic AI backlog, aligning projects with high-value, repeatable tasks identified through AI Labs. Facilitate the successful adoption of Project Sidekick across the organization. Maintain expert-level knowledge of the Agent Builder environment and associated productivity tools (e.g., Atlassian, Miro, Monday.com). Design, develop, and deliver impactful training curricula focused on advanced Enterprise Search and agent utilization. Train and manage a decentralized network of internal “AI Champions” to foster adoption across various departments. Collaborate with P&C and Communications to implement internal marketing strategies that heighten awareness and demonstrate successful use cases. Conduct AI Labs workshops, facilitating teams in workflow mapping and pain point identification. Validate and qualify AI use cases by translating business needs into actionable, technically feasible Agent requirements. Contribute as part of the wider IT team to achieve overarching organizational goals, even when they extend beyond the immediate role.

Join CSC Generation, a pioneering AI-native holding company that is revolutionizing omnichannel retail. We specialize in acquiring iconic brands and enhancing them through our cutting-edge Genesis operating platform. This platform integrates a robust Data Fabric, an advanced Automation Engine, proprietary tools, and shared services to modernize operational workflows, enrich customer experiences, and maximize profit margins. With over $1 billion in revenue from our diverse portfolio, which includes esteemed brands such as Sur La Table, Backcountry, and One Kings Lane, we serve as real-world innovation labs for the retail industry.Reporting to: VP, Performance Marketing Location: Toronto, ON (Hybrid preferred)

About Us At Extreme Networks, we are dedicated to crafting seamless networking solutions that enable individuals and organizations to thrive in an increasingly connected world. We are on the lookout for a Director of AI Engineering to spearhead the design, development, and implementation of our cutting-edge AI-native systems.This pivotal role demands a dynamic leader who merges technical expertise with visionary thinking. You will set the strategic direction for AI initiatives, ensuring that innovative concepts transition from research to scalable, production-ready solutions. Your leadership will be crucial in launching enterprise-grade AI applications that revolutionize network design, optimization, security, and support.

We are seeking a skilled Test Automation Architect to join our dynamic team in Toronto. The ideal candidate will have a strong background in end-to-end test automation, specializing in both UFT and Selenium. You will be responsible for developing automation frameworks from the ground up, leveraging your expertise in Core Java and Java Scripting. Your role will involve implementing enterprise-level test automation strategies and integrating various test automation tools with management solutions like HP ALM. You will also conduct feasibility studies, analyze ROI, and establish reporting metrics for test automation. Additionally, proficiency in database management and SQL queries is essential. A solid understanding of test methodologies, including SDLC (waterfall, agile, DevOps) and STLC, is required. Excellent written and verbal communication skills are a must.

Overview: Join Guidepoint as a skilled Data/AI Engineer and become a vital part of our innovative AI team in Toronto. Our Technology Hub is at the forefront of developing a modern data infrastructure that empowers advanced analytics and promotes responsible AI practices. This strategic initiative is crucial to Guidepoint's vision of harnessing cutting-edge Generative AI and analytical capabilities to enhance our Next-Gen research enablement platform and data-driven products. This role requires remarkable leadership and technical expertise to propel the creation of next-generation research enablement platforms and AI-enhanced data solutions. You will be responsible for designing and scaling Generative AI systems, including large language model (LLM) applications and intelligent research agents, while integrating responsible AI principles and top-tier MLOps practices. As a Senior AI/ML Engineer, you will play a key role in building scalable AI/ML functionalities using Databricks and other advanced tools across Guidepoint’s suite of offerings. The Technology team at Guidepoint thrives on solving complex problems and enhancing user experiences. In alignment with our mission to make individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, our engineering team is tackling challenges to refine internal application architectures and develop new AI-enabled products that optimize our service delivery. This is a hybrid position based in Toronto.

At Veeva Systems, we are a purpose-driven organization at the forefront of the industry cloud, empowering life sciences companies to accelerate the delivery of therapies to patients. As one of the fastest-growing SaaS companies in history, we achieved over $2 billion in revenue last fiscal year and have significant growth opportunities on the horizon.Central to our mission are our core values: Do the Right Thing, Customer Success, Employee Success, and Speed. In 2021, we made history by becoming a public benefit corporation (PBC), legally committed to balancing the interests of our customers, employees, society, and investors.As a Work Anywhere company, we offer the flexibility to work from home or in the office, allowing you to thrive in the environment that suits you best.Join us in transforming the life sciences industry and making a positive impact on our customers, employees, and communities.

Veeva Systems is a mission-driven organization and a trailblazer in industry cloud solutions, dedicated to accelerating the delivery of therapies to patients within the life sciences sector. As one of the fastest-growing SaaS companies in history, we proudly exceeded $2B in revenue last fiscal year, with significant growth opportunities on the horizon.At Veeva, our core values drive everything we do: Do the Right Thing, Customer Success, Employee Success, and Speed. We are not just another public company; we made history in 2021 by becoming a public benefit corporation (PBC), committed to balancing the needs of our customers, employees, society, and investors.As a Work Anywhere organization, we offer the flexibility to work from home or in the office, enabling you to excel in the environment that suits you best.Join us in transforming the life sciences industry, as we strive to make a meaningful impact on our customers, employees, and communities.

About maneva maneva builds AI systems for manufacturing, using vision and production data to reduce downtime, improve quality, and support worker safety through automation on the factory floor. Role Overview This contract position calls for a Machine Learning Engineer / Research Engineer to join maneva's research and engineering efforts. The role involves close collaboration with a lead researcher and robotics engineers to advance industrial automation solutions. What You Will Do Work alongside a lead researcher to guide modeling choices, run structured experiments, and contribute to academic paper development. Implement and maintain policy training code for methods such as ACT, Diffusion Policy, Pi0 fine-tuning/OpenPi, and baseline techniques. Independently investigate and apply new methods from recent academic literature. Run ablation sweeps, prepare comparison tables and plots, and analyze results to extract insights. Maintain an evaluation harness to support reproducibility across experiments. Conduct literature reviews and organize documentation for ongoing and completed work. Draft and refine technical writing, including methods, experiments, and related work sections. Review training code written by robotics engineers as needed. Location Remote , Toronto, Ontario, Canada