Applied AI Engineer at Steel | Toronto

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.

Join Our Team as a Member of Technical Staff (Applied AI Engineer)Location: TorontoOnsite | Full-timeCompensation: $140K - $260KAt mlabs, we are pioneering an open-source browser infrastructure that fuels the next generation of AI agents and applications. Our high-performance Sessions API empowers developers to create products that engage with the web as effortlessly as humans do.Having achieved an impressive 50x growth in our platform in 2025 through organic word-of-mouth and a robust open-source community (over 6,000 GitHub stars), we are seeking a talented engineer to help us redefine browser automation. Our dedicated, high-caliber team is backed by top-tier investors, and we operate with an intense focus on shaping the future of the internet.The RoleIn this pivotal position, you will bridge the gap between product, research, and community engagement. This role transcends traditional ML or DevRel functions—it's a blend of both. You will collaborate with AI agent developers and our core infrastructure, working closely with the founding team to prioritize and design what we build.Your responsibilities will include conducting experiments to assess the effectiveness of various AI models for browser automation, translating those findings into frameworks, research, and engaging content that resonates with developers. We thrive on hard work and rapid execution, and we expect the same vigor from our team; late nights and weekend work are part of the journey toward creating something extraordinary.Key ResponsibilitiesDevelop a TypeScript browser agent framework that integrates LLMs with our core systems.Conduct experiments to determine the most effective models (such as GPT-4, Claude, Gemini) and prompting strategies for complex web tasks.Create open-source demonstrations and integrations with frameworks like LangChain, CrewAI, and other emerging agent platforms.Author technical blog posts and research publications that position our team as leaders in the browser automation space.Collaborate with our Growth Lead to transform experimental insights into compelling content that boosts developer adoption.RequirementsExperience: A minimum of 4 years in engineering with a proven track record of delivering production AI agents (e.g., web scraping, form filling, research automation).AI Literacy: A profound understanding of current LLMs, frameworks, and techniques, with the ability to assess model trade-offs quickly.Tech Stack: Strong expertise in TypeScript/JavaScript and Python. Familiarity with React, Node.js, and browser automation is a significant advantage.Open Source: You are experienced in open-source development—having contributed to or maintained OSS projects and understanding how to foster community engagement around code.Communication: You possess a passion for teaching and are skilled at writing technical content that inspires and informs others.

klick1 seeks an Applied AI Developer based in Toronto. This position centers on building AI solutions that strengthen product features and overall performance. Collaboration is key, as the role involves working closely with teams throughout the company to bring AI-driven improvements into practice. Role overview Design, develop, and refine AI algorithms that support product enhancements Partner with colleagues from various departments to integrate AI into practical, real-world applications Contribute to greater efficiency and stronger product performance by applying AI methods

Join Steel as a Member of the Technical Staff in our Infrastructure team, where you will play a pivotal role in building and maintaining robust systems that support our innovative projects. As part of a dynamic team, you'll leverage your technical expertise to enhance our infrastructure capabilities.

ABOUT APPLY DIGITALApply Digital is a leading global partner in experience transformation, specializing in driving AI-powered change and delivering measurable impact across intricate, multi-brand ecosystems. Our expertise encompasses the entire customer experience lifecycle, from strategic planning and design to engineering and implementation, empowering our clients to modernize their organizations and unlock maximum value for their businesses and customers.Our diverse team of over 750 professionals has successfully transformed renowned global companies such as Kraft Heinz, NFL, Moderna, Lululemon, Dropbox, Atlassian, A+E Networks, and The Very Group.Founded in 2016 in Vancouver, Canada, Apply Digital has expanded rapidly, now operating in ten cities across North America, South America, the UK, Europe, and India.We embrace a collaborative “One Team” philosophy, utilizing a unique ‘pod’ structure that integrates senior leadership, subject matter experts, and cross-functional skill sets, all aligned within a cohesive technical and delivery framework. This structure ensures agile methodologies, allowing our teams to release often and conduct retrospectives for continuous improvement toward our objectives.Wherever we operate, we strive to create a safe, empowering, respectful, and enjoyable community for our team members. We are dedicated to upholding our SHAPE values (smart, humble, active, positive, and excellent) to foster an environment where our team can connect, grow, and support each other in making a meaningful impact.Explore our Careers page to discover how we can help unlock your potential.LOCATION: Apply Digital promotes a hybrid/remote work environment. The ideal candidate should be based in Canada, aligning their working hours with either ET (Eastern Time Zone) or PT (Pacific Time Zone).THE ROLE:We are in search of a Solution Architect who will provide senior technical leadership across our platforms and engineering capabilities, with a strong emphasis on Agentic Engineering, AI-driven experiences, modern software architecture, and scalable delivery practices.

ABOUT APPLY DIGITALApply Digital is a leading partner in experience transformation, dedicated to driving AI-infused change and delivering measurable impact across intricate, multi-brand ecosystems. Our comprehensive expertise spans the entire customer experience lifecycle—from strategy and design to engineering and beyond—enabling our clients to rejuvenate their organizations and maximize value for both their business and customers.With a diverse team of over 750 professionals, we have successfully transformed global enterprises including Kraft Heinz, NFL, Moderna, Lululemon, Dropbox, Atlassian, A+E Networks, and The Very Group.Founded in 2016 in Vancouver, Canada, Apply Digital has expanded its presence to ten cities across North America, South America, the UK, Europe, and India over the past nine years.We embrace the “One Team” philosophy, operating within a ‘pod’ structure that unites senior leadership, subject matter experts, and cross-functional skills, all working towards shared goals within a cohesive tech and delivery framework. This model is supported by efficient scrum and sprint cadences, allowing teams to release regularly and hold retrospectives to ensure progress towards desired outcomes.At Apply Digital, we strive to create a safe, empowering, respectful, and enjoyable community for everyone. Our SHAPE values (smart, humble, active, positive, and excellent) guide us in fostering an environment where our team can connect, grow, and support one another in making a meaningful impact.To discover how we can help unlock your potential, visit our Careers page.LOCATION: This position is hybrid/remote friendly. The ideal candidate should be located in Canada, working hours that align with ET (Eastern Timezone) or PT (Pacific Timezone).THE ROLE:As a Principal Agentic Engineer (Back-end), you will serve as a senior technical leader within our engineering team, tasked with designing, building, and scaling robust back-end systems...

Join our dynamic team as an Operations Associate at Steel, where you will play a crucial role in streamlining our operations and enhancing efficiency. Your responsibilities will include assisting with operational tasks, coordinating with various departments, and ensuring the smooth flow of processes. We are looking for a detail-oriented and proactive individual who is eager to contribute to our success.

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.

About PalonaAt Palona, we are innovating operational systems for the restaurant industry with a mission to empower restaurateurs to manage their establishments with unparalleled efficiency. We specialize in creating real-world AI systems that function continuously in a production environment. Our focus is on developing AI agents capable of perceiving, reasoning, remembering, and taking action within complex physical settings.Restaurants present intricate physical environments that our AI must navigate. We are dedicated to research that stands up to real-world challenges, assisting us in understanding and acting effectively.Join Us in TorontoToronto boasts one of the most dynamic culinary scenes in North America, home to nearly 10,000 restaurants. Our proximity to clients enhances our ability to deliver tailored solutions. The city continually attracts top AI talent, excelling in both foundational AI research and practical applications. Palona is eager to broaden our engineering and research footprint in Toronto, and we invite you to be part of our Toronto office.Who is a Good Fit for Palona?You consider yourself an advanced AI software engineer, always exploring the latest AI tools and technologies.You believe your productivity exceeds that of your peers by at least tenfold.You are passionate about delivering exceptional products to your customers.You want to create innovative and exciting products.You value collaboration and care for your teammates.Who May Not Be a Good Fit for Us?You have yet to experience a transformative moment in AI.You have not been concerned about the costs associated with AI model tokens.You do not prioritize good software design principles.You are not focused on customer satisfaction.Job DescriptionWe are looking for an AI Software Engineer with a strong track record in developing comprehensive end-to-end AI products from the ground up in startup settings. You will design, develop, and deploy autonomous AI systems from inception to production. We seek quick learners who thrive on challenges and have experience delivering AI products independently in fast-paced, resource-limited environments. This role necessitates in-person commitment in Downtown Toronto.Key ResponsibilitiesDesign and deploy complete end-to-end AI products and intelligent agents from concept to production.Create autonomous systems and multi-agent architectures to address complex challenges.Launch AI agents into production with a strong emphasis on reliability and performance, utilizing cutting-edge AI models (LLMs, VLMs).Rapidly prototype and refine AI solutions in an agile startup atmosphere.Take full ownership of projects, delivering the most impactful results for our customers.

Join us as a Technical Go-To-Market Associate at Steel, where you will play a pivotal role in driving our product launch strategies and market outreach initiatives. This position is ideal for a passionate individual looking to make a significant impact in a fast-paced environment. You will collaborate with cross-functional teams to ensure our technical products reach their target markets effectively.

About Equitable Bank Equitable Bank has spent over 50 years building modern banking solutions for Canadians. Through our digital platform, EQ Bank, we serve more than 800,000 customers nationwide. Forbes has recognized EQ Bank as one of Canada’s top banks since 2021. Our subsidiary, Concentra Bank, partners with credit unions that support over six million members, managing assets of more than $142 billion. We focus on driving meaningful change in Canadian banking and improving the lives of our customers. Internship Overview The Finance Innovation Studio at Equitable Bank is an experimental workspace dedicated to applying artificial intelligence and analytics to Finance operations. The Applied AI Experimentation Intern will work closely with the Finance team to run structured experiments, exploring how AI can make financial reporting and analysis more efficient and creative, while reducing manual effort. This internship is hands-on and centers on learning, experimentation, and discovery. The role is designed as a studio and sandbox environment, free from standard processes, with a focus on documenting insights and identifying scalable solutions. The intern will collaborate with the CFO, Anilisa Sainani, members of the Finance Leadership Team, and Technology partners. Who We’re Looking For 3rd- or 4th-year student in engineering or a technical discipline Strong coding skills Solid understanding of finance Interest in using AI tools such as Copilot, ChatGPT, Claude, or Gemini to transform financial reporting and analysis Curiosity and adaptability Comfort working in an experimental, open-ended environment Location This internship is based in Toronto.

Tali AI is a rapidly expanding startup in Canada dedicated to enhancing healthcare accessibility through artificial intelligence. We are developing a pioneering AI platform designed to streamline clinical workflows by automating data collection, processing, and sharing. This allows healthcare professionals to concentrate on delivering quality care. Our platform is utilized by thousands of clinicians across Canada and the United States, spanning various specialties and seamlessly integrated with the complex landscape of North American health record systems. Our technical vision is to create a comprehensive operating system for clinical workflows, enabling healthcare teams to customize the platform to automate their data management tasks.We tackle genuinely challenging problems:Establishing real-time audio pipelines where latency impacts outcomes and accuracy is critical.Integrating with a diverse ecosystem of clinical software, including health records, billing, scheduling, referral management, and more.Creating reliable AI workflows and agents in a domain where errors can have significant consequences.Implementing a privacy and compliance framework that is robust by design.We operate in a fast-paced market that values rapid innovation, while building and maintaining clinician trust is paramount.

The Ontario Transit Group is seeking a Project Coordinator with a focus on structural steel projects in Toronto. This position plays a key role in keeping projects on track and up to quality standards. Role overview This role centers on coordinating different aspects of structural steel work. The Project Coordinator helps manage schedules, monitors progress, and supports the delivery of project milestones. Clear communication with departments and stakeholders is essential to keep everyone aligned and informed. What you will do Coordinate project activities related to structural steel Track timelines and help ensure deadlines are met Support quality control processes Facilitate communication between teams and stakeholders Requirements Strong organizational skills Experience working with structural steel projects is an asset Ability to coordinate across multiple departments

About Rootly At Rootly, we are dedicated to becoming the preferred solution for organizations when incidents occur, enhancing reliability across the board. Our industry-leading incident management platform empowers companies globally to swiftly and effectively address incidents. We are not just revolutionizing an industry; we are pioneering a brand-new, multi-billion dollar segment and require exceptional talent to help us realize this ambitious vision. Our clients love Rootly. Fast-growing enterprises such as NVIDIA, Figma, Canva, Tripadvisor, and Squarespace depend on Rootly to streamline their critical incident management processes. They appreciate our user-friendly, enterprise-ready platform and our unique partnership model. Discover why we have earned 5-star reviews on G2. Our investors share our passion. Backed by esteemed funds including Y Combinator and prominent operators like the CTOs of Dropbox and GitHub, we are eager to share our comprehensive funding and profitability status during interviews. Transparency is integral to our culture; we conduct monthly financial reviews as a team to keep everyone informed about the company's health and share updates via our weekly changelog. About the Role We are seeking a Senior AI Engineer to spearhead the development of an innovative AI-driven reliability assistant. This role transcends traditional machine learning tasks; it focuses on LLM engineering and AI agent development, utilizing cutting-edge AI technologies (including LLMs, vector embeddings, semantic and hybrid search, and vector databases) to create a non-deterministic product that delivers significant value to engineers and accelerates incident resolution. As an early member of the engineering team at Rootly, you will have complete ownership of this initiative, playing a crucial part in shaping both the product and the company. If you excel in a dynamic environment that values rapid development, deployment, and iteration, this opportunity is perfect for you. What You'll Do Lead the creation of an AI-powered reliability assistant that extracts pertinent context from various data sources such as observability tools, GitHub, deployment histories, past incidents, and playbooks. Develop LLM-powered features that convert raw data into actionable insights for engineers managing incidents. Establish evaluation frameworks to assess AI performance in real-world scenarios.

ShyftLabs delivers data-driven digital products for Fortune 500 clients, working across industries to create measurable business results. Since 2020, the company has grown teams in Canada, the U.S., and India, and values people who turn ambitious ideas into practical solutions. Role overview The Senior AI Engineer position is based in Toronto and focuses on building and deploying AI-powered features in production environments. This is a hands-on engineering role, working closely with Product, Architecture, and other engineering teams to deliver intelligent capabilities for ShyftLabs’ data-centric platforms. The role also involves contributing to the backend infrastructure that supports these products, with an emphasis on scalability and reliability. What you will do Design, build, and deploy AI and machine learning features directly into production systems Work with cross-functional teams to integrate intelligent functionality into new platforms Help develop backend platforms, focusing on scalability and resilience Requirements Significant experience in AI or machine learning engineering Strong skills in backend development Experience with fine-tuning large language model integrations Ability to design resilient APIs or event-driven services

ABOUT APPLY DIGITALApply Digital is a leading global partner in experience transformation, committed to driving AI-powered change and delivering measurable impact across intricate, multi-brand ecosystems. Our expertise spans the entire customer experience lifecycle—from strategy and design to engineering and beyond—empowering our clients to modernize their organizations and maximize value for both their businesses and customers.With over 750 skilled team members, we have successfully transformed renowned global companies such as Kraft Heinz, NFL, Moderna, Lululemon, Dropbox, Atlassian, A+E Networks, and The Very Group.Founded in Vancouver, Canada, in 2016, Apply Digital has expanded to ten cities across North America, South America, the UK, Europe, and India over the past nine years.We embrace a collaborative “One Team” approach, working in ‘pods’ where senior leadership, subject matter experts, and cross-functional talents unite within a shared tech and delivery framework. This structure is bolstered by effective scrum and sprint cadences, ensuring teams release frequently and conduct retrospectives to advance towards our goals.Wherever we operate globally, we envision Apply Digital as a safe, empowered, respectful, and enjoyable community for our team members every day. Together, we embody our SHAPE (smart, humble, active, positive, and excellent) values, fostering an environment where our team can connect, grow, and support each other to make a significant impact.Explore our Careers page to discover how we can unlock your potential.LOCATION: Apply Digital embraces a hybrid/remote work model. The ideal candidate should be based in Canada, aligning their working hours with ET (Eastern Timezone) or PT (Pacific Timezone).THE ROLE:The Principal Agentic Engineer (Front-end) will serve as a senior technical leader, responsible for constructing scalable, high-quality frontend applications that drive AI-enhanced digital experiences. This role merges frontend engineering expertise with architectural leadership...

Join Ontario Transit Group as a Structural Steel Site Superintendent in the vibrant city of Toronto. In this pivotal role, you will oversee and coordinate site operations, ensuring that all structural steel installations are completed to the highest standards of quality and safety. You will collaborate with project managers, engineers, and construction teams to facilitate effective communication and workflow on-site.Your expertise in structural steel will be crucial in maintaining project timelines and delivering exceptional results. If you are a proactive leader with a passion for construction and a commitment to excellence, we want to hear from you!

Join Palona as an AI Software Engineer and unleash your potential in a dynamic startup environment. We are looking for a talented individual with a strong background in developing comprehensive, end-to-end AI products from the ground up. In this role, you will have the opportunity to design, develop, and deploy autonomous AI systems, taking them from initial concept through to production. Ideal candidates are quick learners who thrive on challenges and have successfully delivered AI solutions independently in fast-paced, resource-constrained settings.Key Responsibilities Develop and ship sophisticated end-to-end AI products and intelligent agents from inception to deployment. Design autonomous systems and multi-agent frameworks that address intricate challenges. Focus on the reliability and performance of deployed AI agents. Rapidly prototype and refine AI solutions in an agile startup environment. Assume full ownership of projects and drive them to successful completion with minimal oversight. Integrate cutting-edge AI models (such as LLMs and computer vision technologies) into production-grade applications.

Wisedocs is a rapidly expanding AI platform revolutionizing the insurance claims analysis process. With approximately $20 million USD in funding, over 100 global team members, and more than 90 clients in North America and Australia, we're on a trajectory of doubling our revenue year over year.Founded by professionals who have intimately experienced the claims process, Wisedocs merges profound industry knowledge with cutting-edge AI trained on a wealth of over 100 million documents. Our platform transforms intricate medical records into straightforward, structured insights, all under the guidance of expert human oversight.Join our mission-driven team dedicated to creating intelligent products that simplify complexity, speed up decision-making, and deliver meaningful impacts when it matters most.Role OverviewWe are seeking a Senior Solutions Engineer to collaborate with customers, Sales, Product, and Services teams to architect and implement effective solutions for intricate enterprise scenarios.As we enhance our market presence, customer challenges are becoming increasingly complex and do not always align directly with our existing product capabilities. In this position, you will be tasked with crafting practical, high-impact solutions that integrate current offerings with potential innovations, playing a vital role in ensuring Wisedocs can adapt to complex customer requirements while maintaining scalability.This role is hands-on and collaborative, intertwining solution design, customer interaction, and cross-functional teamwork to guarantee successful outcomes. If you thrive on tackling real-world challenges, collaborating across teams, and transforming ambiguity into clear solutions, we would love to hear from you.Key ResponsibilitiesSolution Design & ExecutionConduct discovery sessions to comprehend customer workflows, constraints, and objectives.Create clear, practical solution strategies that leverage Wisedocs' capabilities.Transform ambiguous challenges into actionable solution frameworks.Ensure that proposed solutions deliver value to customers while remaining feasible for implementation.Customer EngagementLead solution-focused demonstrations, workshops, and proof-of-concept initiatives.Assist customers in understanding how Wisedocs integrates into their workflows and enhances outcomes.Build trust through a deep understanding of customer needs and use cases.Product CollaborationCollaborate with Product teams to provide grounded, actionable insights from customer interactions.Identify trends in enterprise use cases that inform product roadmap decisions.

About Us: Axiomatic AI is pioneering a new generation of AI systems that employ the scientific method's rigor. By integrating deep learning with formal logic and physics-based modeling, we develop AI systems that are both verifiable and interpretable. Our solutions work in tandem with human researchers, enhancing their capabilities in critical scientific and engineering workflows. Our Mission, 30×30, is to achieve a 30-fold improvement in the speed, accessibility, and affordability of semiconductor and photonic hardware development by the year 2030. We are on a mission to transform hardware design and simulation within these sectors and are assembling a passionate team of professionals dedicated to translating groundbreaking research into commercial products. Position Overview We are in search of a Measurement Software Engineer to design and implement AX-Measure, the core of our autonomous laboratory. Your role will involve developing robust software layers that convert high-level AI decisions into precise, low-level commands for hardware operations. Your programming will govern millions of dollars worth of equipment, manage terabytes of measurement data, and ensure our 'self-driving' lab operates seamlessly. Responsibilities Create unified APIs enabling our AI agents to interact with various instruments, including oscilloscopes, network analyzers, SMUs, signal generators, and lasers. Develop high-concurrency execution engines for coordinating parallel measurements across multiple wafer chucks or cryostats. Design data pipelines and storage solutions to efficiently ingest high-frequency data streams, making them readily accessible for AI model queries. Implement 'guardrail' logic to prevent AI from initiating unsafe operations and to verify AI outputs. Integrate measurement outcomes with data analysis and modeling frameworks to enable closed-loop semiconductor development. Requirements B.S. or M.S. in Electrical or Computer Engineering, or a related discipline. 2+ years of extensive experience in production-grade Python, including proficiency in packaging (Poetry/UV), type hinting, decorators, and context managers. 2+ years of experience in automating hardware through VISA, SCPI, TCP/IP, or gRPC. 2+ years of experience in designing SDKs or APIs. 2+ years of experience in developing structured scientific data formats (HDF5) and time-series databases. Preferred Qualifications Familiarity with Rust or C++ for performance-critical applications.