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Experience Level
Mid to Senior
Qualifications
QualificationsProven experience in engineering large-scale AI infrastructure. Expertise in GPU and accelerator management. Strong programming skills in languages such as Python, Java, or C++. Familiarity with cloud platforms and container orchestration technologies. Ability to design and implement APIs for self-service platforms. Excellent problem-solving capabilities and a proactive mindset. Strong communication skills to collaborate effectively within teams.
About the job
Paytm is seeking a Lead Staff Platform Engineer focused on AI Infrastructure in Toronto, Canada. This position centers on building and scaling the systems behind Paytm's AI inference platform, which supports both internal teams and enterprise clients as they develop new customer-facing AI solutions.
What You Will Do
Own and manage GPU infrastructure, model hosting, and model serving for the AI inference platform.
Enable multi-model routing across different modalities, including voice, vision, and fintech workflows.
Oversee deployment of proprietary and third-party models on shared GPU and accelerator clusters.
Develop self-service platforms that let teams provision compute, deploy, and customize models using APIs and control planes.
Establish the AI control plane for Paytm Intelligence (Pi), with a focus on policy-driven routing, quotas, observability, and cost visibility.
Impact Areas
Accelerate delivery of AI agents and features across payments, risk management, fraud detection, collections, support, and developer tooling.
Improve reliability and efficiency of hardware utilization.
Give teams the tools to use AI infrastructure without rebuilding core systems each time.
Location
This role is based in Toronto, Canada.
About Paytm
About PaytmPaytm is a leading digital payment and financial services platform in India, dedicated to transforming the way people transact. With a commitment to innovation and customer-centric solutions, we empower millions of users and businesses through our mobile app. Join us to be part of a dynamic team that is shaping the future of finance and technology.
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.
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.
Join our dynamic team at Harvey as a Software Engineer, where you will play a pivotal role in shaping our cutting-edge AI platform. This is an exciting opportunity to work with innovative technologies and contribute to projects that push the boundaries of artificial intelligence.As a Software Engineer, you will collaborate with cross-functional teams to design, develop, and implement software solutions that enhance our AI capabilities. Your work will directly impact the efficiency and effectiveness of our platform, helping to drive our mission forward.
Join shyftlabs as a Sales Engineer specializing in AI and Data Platforms. In this role, you will leverage your technical expertise to support the sales team in delivering innovative solutions to our clients. You will work closely with customers to understand their needs and demonstrate how our products can drive their success. Your ability to communicate complex technical concepts in an understandable way will be key to your success.
Role overview Harvey seeks a Staff Software Engineer in Toronto to drive the evolution of its AI Platform. The focus is on designing and building scalable systems that can adapt to business needs and deliver reliable performance. Key responsibilities Architect and develop essential components for the AI Platform, prioritizing both performance and scalability. Collaborate with engineers and data scientists to address complex technical challenges. Enhance the platform’s stability, speed, and overall functionality. Collaboration and impact This role works alongside a talented group in engineering and data science. Contributions will have a direct effect on the platform’s capabilities and support Harvey’s business outcomes.
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.
Role Overview Paytm is hiring a Staff AI Platform Engineer in Toronto, Canada, with a focus on Inference and Agentic Systems. This role centers on designing and improving AI-powered platforms that support intelligent, agent-like features for users and business applications. What You Will Do Work with a skilled team to build and refine AI solutions that support agentic behaviors and inference-driven capabilities. Apply experience in machine learning, software engineering, and system architecture to develop and scale reliable AI platforms. Contribute technical leadership and hands-on expertise to projects that advance Paytm’s AI offerings. Key Skills Deep knowledge of machine learning and inference methods Strong background in software engineering Experience designing and maintaining complex system architectures
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 MagicalMagical is an innovative automation platform that integrates cutting-edge AI technology into the healthcare sector, providing AI agents capable of functioning effectively in real-world settings.Our mission is to create 'AI employees' that streamline tedious and time-consuming processes, specifically in healthcare—a massive $4 trillion industry laden with administrative burdens. We focus on automating critical tasks such as claims processing, prior authorizations, and eligibility checks, allowing healthcare professionals to dedicate more time to patient care.Our AchievementsAs pioneers in the transition to agentic automation in healthcare, we have achieved significant traction:Dramatic revenue growth with clients expanding into new workflows ahead of contract renewals.Rapid proof-of-concepts completed in just 7 days, delivering tangible value in an industry where similar timelines typically span months.Self-repairing automations with production-level reliability at scale, outperforming competitors who struggle to launch functional solutions.Unlike many AI firms that make grand promises, we provide dependable solutions that yield measurable outcomes. Our backing includes notable investors such as Greylock, Coatue, and Lightspeed, with a total funding of $41M. Our founder, Harpaul Sambhi, is a seasoned entrepreneur who previously sold his first company to LinkedIn.Role OverviewIn your role as a Senior Backend Engineer on the Agent Platform team, you will develop the core systems that drive our AI agents—covering aspects from orchestration and state management to model integration and evaluation pipelines. This position is centered around platform engineering, focusing on building the infrastructure that empowers our team to deliver reliable, production-grade agentic automation.You will work at the forefront of multi-agent systems, designing collaborative strategies for agents to tackle complex healthcare workflows. You will take ownership of essential backend services, overseeing them from architecture to deployment while developing verification systems that ensure our agents perform accurately every time.This hybrid position requires you to be onsite in our Toronto office two days each week.
Wisedocs is an innovative and rapidly expanding AI platform that revolutionizes the way insurance companies evaluate claims. With approximately $20 million USD in funding, over 100 team members worldwide, and more than 90 clients across North America and Australia, we are experiencing remarkable growth, doubling our revenue year after year.Founded by industry experts who have firsthand experience with the claims process, Wisedocs merges extensive domain expertise with cutting-edge AI, trained on over 100 million documents. Our platform simplifies complex medical records into clear, structured insights, supported by expert human oversight.Join our mission-driven team dedicated to developing intelligent products that simplify complexity, expedite decision-making, and create a significant impact when it matters most.Role OverviewWe are on the lookout for a Senior Machine Learning Engineer to spearhead the scaling and innovation of machine learning initiatives across the organization. In this pivotal role, you will enhance our inference and training pipelines to accommodate a higher volume of customers while refining extraction and summarization techniques across various modalities. You will foster a customer-centric approach and collaborate with fellow senior engineers to seamlessly integrate the ML system into the broader Wisedocs platform.Our Current ML EcosystemWe have three primary types of ML systems operational in production: an entity classification system, a custom reports generator, and a series of summarization models. Our entity classification has been functioning for four years and currently processes data asynchronously using a combination of models. Discover more about our initiatives at our tech blog.Recent Projects by Our ML Team:Reconstructing our inference pipeline to achieve 100x scalingDeveloping consistent parsing methods for 50,000-page PDFsDeploying our pipeline within an isolated government client environmentYour ResponsibilitiesDesigning and implementing machine learning models to analyze and interpret large sets of medical and insurance documentsCreating robust, scalable APIs using PythonCollaborating with technical stakeholders and leaders to contribute to system design and implementationEnsuring the reliability and scalability of ML systems while enforcing best practices in data engineering and model lifecycle managementWorking closely with our expert-in-the-loop teams to develop industry-leading evaluationsAdditional responsibilities will evolve as projects progress and change
At Tenstorrent, we are at the forefront of pioneering AI technology, setting new standards for performance, usability, and cost-effectiveness. As AI reshapes the technological landscape, our solutions are evolving to integrate advancements in software models, compilers, platforms, networking, and semiconductors. Our talented team has designed a high-performance RISC-V CPU from the ground up, driven by a passion for AI and a commitment to building the leading AI platform. We prioritize collaboration, curiosity, and tackling challenging problems, and we are expanding our team to include contributors of all experience levels.Become a vital part of the team transforming AI computing at Tenstorrent. You will engage with TT-Forge, our MLIR-based compiler that allows developers to optimize AI workloads across all configurations of Tenstorrent hardware using an open-source, efficient, and versatile compiler. You will be at the cutting edge of the AI hardware revolution, contributing to compiler technologies that expand the horizons of what’s achievable.This position offers a hybrid work environment based in Toronto, ON.We encourage applications from candidates with varying levels of experience. During the interview process, we will assess candidates to determine the appropriate level, and offers will align accordingly.
Wisedocs AI is a rapidly expanding, venture-funded AI platform revolutionizing the way insurance companies evaluate claims. With approximately $20 million USD raised, a global workforce of over 100 team members, and more than 90 clients across North America and Australia, we are witnessing a year-over-year revenue increase.Founded by industry veterans who have navigated the claims process, Wisedocs blends extensive domain expertise with cutting-edge AI trained on over 100 million documents. Our platform simplifies complex medical records into concise, structured insights, supported by expert human oversight.Join our mission-driven team dedicated to developing intelligent products that simplify complexity, speed up decision-making, and create meaningful impact when it matters most.Role SummaryAt Wisedocs, we are constructing the infrastructure that underpins modern insurance and legal document review, and our revenue engine is rapidly expanding. As Marketing, Sales, and Customer Success scale concurrently, we are seeking an individual who can integrate the GTM (Go-to-Market) strategy: an innovator who constructs systems, highlights signals, and transforms data into actionable decisions that propel our business forward.The Senior Manager of Revenue Operations will oversee our complete GTM tech stack—from conceptualization to implementation. You will design the reporting framework that our Senior Leadership Team (SLT) relies on, driving daily performance across our customer-facing teams.This position is ideal for someone who is outcome-oriented, proactive, and possesses a strong perspective. If you seek a defined backlog and a steady scope, this role may not be for you. However, if you aspire to take ownership of a function and influence how a scaling company operates its revenue engine, this is the opportunity for you.Your Responsibilities:GTM Technology & SystemsLead the configuration, administration, and evolution of HubSpot and the wider GTM tech stack (SalesLoft, Avoma, Vitally, ZoomInfo, LinkedIn Sales Navigator, Koalify, and others).Assess new technology solutions to enhance and modernize our revenue generation engine.Facilitate integrations and data flows across platforms to ensure a single source of truth for the revenue organization.Provide support to end-users as required.Reporting, Analytics & InsightsEstablish and manage the GTM reporting infrastructure utilized by senior leadership, encompassing pipeline, conversion, retention, and expansion metrics.Address ad-hoc analysis requests with context and insight—not merely figures.Proactively identify trends, anomalies, and opportunities, consistently accompanied by recommendations.
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
Role Overview Paytm is seeking a Lead Staff Platform Engineer focused on AI Infrastructure in Toronto, Canada. This position centers on building and scaling the systems behind Paytm's AI inference platform, which supports both internal teams and enterprise clients as they develop new customer-facing AI solutions. What You Will Do Own and manage GPU infrastructure, model hosting, and model serving for the AI inference platform. Enable multi-model routing across different modalities, including voice, vision, and fintech workflows. Oversee deployment of proprietary and third-party models on shared GPU and accelerator clusters. Develop self-service platforms that let teams provision compute, deploy, and customize models using APIs and control planes. Establish the AI control plane for Paytm Intelligence (Pi), with a focus on policy-driven routing, quotas, observability, and cost visibility. Impact Areas Accelerate delivery of AI agents and features across payments, risk management, fraud detection, collections, support, and developer tooling. Improve reliability and efficiency of hardware utilization. Give teams the tools to use AI infrastructure without rebuilding core systems each time. Location This role is based in Toronto, Canada.
About AltaML AltaML builds and deploys applied AI software for clients across North America. The team focuses on operationalizing AI to solve real business problems and drive transformation in various industries. Our Culture Experimentation and collaboration shape daily work at AltaML. The company values creativity and welcomes those who enjoy solving complex problems and delivering strong customer experiences. Role Overview The Senior AI Architect acts as a technical leader, designing and implementing scalable, secure AI solutions for production use. This position guides clients from early concepts through prototyping and into measurable results. This hybrid role blends deep technical skills with commercial awareness. The architect ensures agentic systems are set up for user adoption, strong ROI, and future growth. Regular collaboration with industry leaders, engineering teams, and executive stakeholders is central to the work. Location Toronto
Klue develops competitive intelligence solutions for businesses, with a growing engineering team in Toronto. The Senior Software Engineer, AI, will help shape the next generation of LLM-powered agents and advanced search systems. Role overview This position centers on designing and optimizing backend systems for agentic workflows. The work involves retrieval-augmented generation (RAG), dense retrieval, query understanding, and agentic reasoning. The goal is to deliver fast, accurate, and reliable search experiences for Klue's clients. What you will do Develop and deploy backend systems that support agentic workflows. Build retrieval pipelines, orchestration layers, and multi-step agent architectures to transform large volumes of competitive data, news, press releases, web updates, Slack, email, reviews, and CRM information, into actionable intelligence. Lead evaluation of agentic systems. Create and maintain automated, offline, and human-in-the-loop evaluation frameworks. Define success metrics and build infrastructure for continuous measurement of relevance, quality, latency, and task success. Design and refine retrieval and ranking systems. Work across hybrid retrieval, re-ranking, query rewriting, and post-retrieval synthesis. Balance trade-offs between BM25, dense retrieval, and hybrid methods to ensure agents provide timely and relevant information. Enhance LLM-powered workflows. Improve prompt design, retrieval strategies, caching, and latency to make agent responses faster, more accurate, and more reliable in production. Prioritize customer-centric development. Connect technical decisions to customer outcomes. Use insights from customer interactions to guide feature prioritization and improvements, adopting an iterative approach and measuring impact. Location This position is based in Toronto, Ontario. Learn more about Klue at klue.com.
Join Waabi, an innovative leader in Physical AI, founded by AI pioneer Raquel Urtasun. We are pioneering the future of autonomous transportation, developing cutting-edge technology for commercial autonomous trucks and robotaxis. Our esteemed team collaborates with top-tier partners across AI, automotive, logistics, and deep technology sectors.With offices located in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is rapidly expanding and is in search of diverse, innovative, and collaborative individuals eager to make a positive impact on the world. For more information, please visit: www.waabi.aiAt the heart of Waabi’s mission is our groundbreaking simulation technology. Our state-of-the-art closed-loop simulation engine, Waabi World, employs the latest generative AI technologies to create a highly realistic environment for training and evaluating self-driving systems. The Simulation Platform team is tasked with delivering a modular, scalable platform that seamlessly integrates the onboard autonomy system, intelligent actor models, and sensor simulation.Key Responsibilities:- Enhance and contribute to Waabi World, our advanced self-driving simulator, to expedite the development of autonomous vehicles.- Optimize the scalability and performance of the simulation platform to facilitate efficient simulations at a massive scale.- Design and develop orchestration software that interconnects simulation subcomponents, including the autonomy system, data-driven actor models, and sensor simulations powered by generative AI.- Engage in technical and architectural discussions, collaborating with researchers and engineers to share insights and innovative ideas.- Collaborate closely with internal users to grasp their needs and workflows, proposing new features to enhance their experience with the simulator.- Promote best practices and set standards for software development.- Lead complex cross-functional technical projects that have a significant impact across Waabi's systems and the organization as a whole.
At Mod Op, we are revolutionizing the marketing landscape with our innovative AI-driven solutions that enhance creativity, strategy, and execution at scale. Join us as we redefine the agency-client and consumer-business relationships to deliver memorable experiences. As a Senior AI Architect on Mod Op’s Innovation Team, you will play a pivotal role in shaping the future of marketing by integrating data, behavioral insights, and state-of-the-art AI technologies. Your mission will be to design intelligent tools and agents that elevate creativity, boost efficiency, and drive growth for leading global brands. Collaborating with a diverse team of strategists, data scientists, creatives, and technologists, you will create and implement customized AI solutions that cater to various industries, including CPG, entertainment, food & beverage, and B2B. Your passion for understanding human behavior and eagerness to experiment will fuel innovations that transform how customers discover, engage with, and purchase products and services. This is not just a research role; it's a hands-on opportunity to build, test, learn, and deliver results. You will be instrumental in helping Mod Op and our clients evolve rapidly, intelligently, and more humanely.
Feb 6, 2026
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