Senior/Staff Software Engineer, Simulation Platform

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.

At RAVL, a premier technology advisory and engineering firm, we specialize in empowering the financial services sector by delivering innovative solutions that drive measurable ROI from technology investments. As we expand our engineering team, we are in search of talented AI Platform Engineers dedicated to developing cutting-edge AI systems for our diverse clientele. This exciting role encompasses the creation of generative AI platforms, the facilitation of agent-based architectures, and the design of scalable orchestration and integration layers tailored for enterprise-level AI. The position involves both current projects and future hiring plans, focusing on the development of secure, scalable, and production-ready AI platforms.

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.

RAVL is a specialized technology advisory and engineering firm dedicated to enhancing the financial services sector. Our mission is to empower clients to achieve significant returns on their technology investments through innovative solutions.We are expanding our engineering team and are seeking talented AI Platform Engineers to create cutting-edge AI systems for our clients. This role involves the development of Generative AI platforms, enabling agent-based architectures, and designing robust orchestration and integration layers tailored for enterprise AI applications.The positions will cover both current projects and future hiring needs, emphasizing the creation of secure, scalable, and production-ready AI platforms.

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.

At Braze, our team is not just a workforce; we are a community of approachable, kind, and passionate individuals. We are united by a shared commitment to excellence, teamwork, and a harmonious work-life balance as we navigate rapid global growth while promoting equity and opportunity within and beyond our organization.To succeed in our environment, you must be ready to set high standards for yourself and inspire those around you. We believe there is always a way to contribute; autonomy, accountability, and openness to new perspectives are critical to our success.Our insatiable curiosity and eagerness to share diverse interests create a unique vibrancy in our culture. If you are motivated to tackle exciting challenges and embrace change with action, you will have the opportunity to make a significant impact alongside a dedicated and passionate team. If Braze resonates with you, we are eager to meet you!WHAT YOU'LL DOJoin the AI Platform team at Braze to develop and expand the BrazeAI Decisioning Studio—a cutting-edge reinforcement learning platform that spearheads AI Decisioning. This platform facilitates continuous experimentation and tailors customer engagement at an individual level, enabling brands to evolve from traditional rule-based campaigns to autonomous, self-optimizing interactions. You will work at the intersection of cloud-native infrastructure, data-intensive systems, and machine learning in production.Key Responsibilities:Design and uphold essential services and subsystems on our AI platform, balancing performance with cost efficiency.Implement cloud-native solutions that guarantee reliability, scalability, and fault tolerance.Resolve production incidents comprehensively, delving deep to identify root causes and apply sustainable fixes.Contribute to observability practices using Sentry and Datadog to proactively identify issues and reduce downtime.Collaborate with data scientists, ML engineers, and product teams to transform real-world use cases into platform capabilities.Enhance the developer experience by optimizing workflows, improving tools, and advocating for MLOps best practices.Technological Stack:Core Data & ML: Python, Ibis, FastAPI, Dataproc (Spark), SQL, BigQuery, MLflow, StreamlitPlatform & Infrastructure: Google Cloud Platform, AWS, Kubernetes, Helm, TerraformWorkflows & Orchestration: Airflow, RabbitMQ, CeleryCI/CD: GitHub Actions, Jenkins

About Us:Geotab Inc. is a leading global provider of IoT and connected transportation solutions, recognized as a "Great Place to Work™." We pride ourselves on our diverse and talented team that collaborates to drive business growth and enhance community safety and sustainability. At Geotab, we are revolutionizing vehicle management by connecting commercial fleets to the internet and delivering web-based analytics for improved operational efficiency. Our open platform and Geotab Marketplace® empower businesses of all sizes to integrate vehicle data with their other data assets, processing billions of data points daily. Through data analytics and machine learning, we enhance productivity, optimize fleets, reduce fuel consumption, bolster driver safety, and ensure compliance with regulatory standards. Our dynamic team is expanding, and we are seeking passionate individuals who think outside the box and strive to make a positive impact. At Geotab, we thrive in a fast-paced and evolving environment, embracing new challenges and responsibilities beyond the initial job scope. Join us for a rewarding career filled with innovation opportunities, competitive benefits, and a vibrant, inclusive company culture. Discover what it's like to be a Geotabber by visiting our blog and follow us on Instagram. Join our talent network to stay updated on exciting job opportunities.

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.

At Range Group, we are committed to empowering professional travel advisors, representing over $4.5 billion in annual travel sales. Our investments are rooted in the belief that travel advisors significantly enhance the travel experience. With the right technology and round-the-clock support, they become invaluable. Additionally, our philanthropic efforts through the Range Foundation allocate 10% of group profits to social initiatives, fostering exploration, education, cultural infrastructure, and support for global communities in need.This is a hybrid role, requiring two days per week in our Toronto office. Candidates outside the commutable area will be considered for remote work.The RoleJoin TripArc in building an innovative AI-powered vacation booking platform, providing North American travel advisors with access to over 10,000 pre-packaged, instantly bookable itineraries.Your responsibilities will include developing Angular micro frontends, AI agent pipelines, and integrating with our MongoDB infrastructure for the Vacations Platform, while also enhancing our established ADX booking platform and the accompanying Product Builder. We seek individuals who can navigate both new and existing contexts seamlessly.Regardless of your focus, you will take ownership of your projects from design to deployment, collaborating closely with Product, QA, and your team.How We BuildWe expect all developers on our team to utilize AI coding tools—such as GitHub Copilot, Claude, and Cursor—as integral parts of their development process. These tools enhance our speed and confidence, supported by a strong code review culture and disciplined testing practices. If you know how to leverage AI-assisted development effectively while maintaining high-quality standards, you will thrive here.What You’ll Work OnItinerary Catalog & AI Pipelines: Develop the core systems that enhance our travel booking process.

At Range Group, we champion the invaluable role of professional travel advisors. Representing over $4.5 billion in annual travel sales, we firmly believe that equipped with the right technology and 24/7 support, travel advisors provide unmatched value to any journey. Our commitment to giving back is embodied in the Range Foundation, which allocates 10% of our group profits to social impact initiatives, from exploration grants and educational access to cultural infrastructure and humanitarian assistance. Join us in shaping a brighter future.This is a hybrid role, requiring two days a week onsite at our Toronto office. Candidates outside the commutable area may be considered for remote work.The RoleJoin TripArc as we develop an AI-driven vacation booking platform designed to empower North American travel advisors with over 10,000 pre-packaged, instantly bookable itineraries.Your responsibilities will encompass both pioneering new features and enhancing existing systems. You'll create new Angular micro-frontend applications, build AI agent pipelines, and integrate with our MongoDB-supported catalog framework for the Vacations Platform while also extending and collaborating with the established ADX booking platform and the new Product Builder. We seek individuals who can navigate both realms seamlessly.You will take full ownership of your tasks from design to deployment, working closely with Product, QA, and your team.Our Development ApproachWe expect all developers to integrate AI coding tools such as GitHub Copilot and others into their workflow as a standard practice. These tools facilitate a faster development cycle while ensuring quality through rigorous code reviews and testing. If you excel at leveraging AI-assisted development without sacrificing quality, you will thrive here.Your ContributionsItinerary Catalog & AI Pipelines: You will be instrumental in building...

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.