Senior AI Engineer

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 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.

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

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

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.

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.

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.

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 Tenstorrent, we are at the forefront of groundbreaking AI technology, setting new benchmarks for performance, usability, and cost-effectiveness. As AI continues to transform the computing landscape, our solutions are evolving to integrate advancements in software models, compilers, platforms, networking, and semiconductors. Our talented and diverse team has created a high-performance RISC-V CPU from the ground up and shares a collective passion for AI, driven by a commitment to develop the premier AI platform in the industry. We prioritize collaboration, curiosity, and a dedication to tackling complex challenges. As we expand, we are eager to welcome contributors of various experience levels to our team.Our Tensix team is focused on developing custom AI compute cores, RISC-V CPUs, and chiplet-based architectures for applications in datacenters, edge computing, and automotive AI. Design Verification Engineers within our team play a critical role in validating compute IP and subsystems, while also building scalable DV infrastructure to maintain rapid, automated, and production-quality verification.This position is hybrid, based in either Toronto, ON or Austin, TX.We encourage applicants with varying levels of experience to apply. During the interview process, candidates will be evaluated to determine the appropriate level, with offers tailored accordingly.

Shape the Future of Finance with Us!Our mission is to democratize finance for everyone. An estimated $124 trillion of assets will be passed down to younger generations in the coming decades, marking the largest wealth transfer in history. If you’re eager to be part of this monumental cultural and financial transformation, we want to hear from you.About Our Team and the RoleWe are assembling a top-tier team to tackle the world’s most significant financial challenges using cutting-edge technologies. We seek innovative thinkers, adept problem-solvers, and builders ready to make a substantial impact. At Robinhood, we foster an environment of high performance and ethical standards, where ambitious individuals can excel in their careers. Expectations are high, and the rewards are significant.Within Robinhood, we perceive security as a design and engineering challenge rather than a mere administrative task. We are in search of a lead architect for our next-gen automated defense systems. As a Senior Vulnerability Management Engineer, you will evolve our program into a self-scaling security platform that surpasses the conventional 'scan-and-patch' approach. You will spearhead the transition to an Intelligence-Driven Defense model, harnessing Agentic AI and Machine Learning to automate risk discovery, prioritization, and remediation at scale, ultimately streamlining security for our developers.This position is based in our office in Toronto, as outlined in this job posting. For more details about our in-office philosophy and expectations, please connect with your recruiter.

Role overview Lyft is seeking a Senior Software Engineer in Toronto, Canada to focus on AI-driven developer productivity. The position centers on building and refining tools that help engineers work more efficiently. The team explores new AI approaches to reduce friction and simplify everyday workflows for developers. What you will do Work closely with engineers, product managers, and cross-functional teams to identify challenges in the development process Design, build, and maintain software that applies AI to improve developer effectiveness Implement new features and enhancements that streamline and accelerate development Share ideas and technical insight to influence how Lyft’s engineering teams operate Impact This role has a direct effect on Lyft’s internal tools and engineering practices. The work supports teams across the company, making it easier for them to deliver high-quality software.

Join our innovative team as a Senior Sales Engineer specializing in Data & AI Security. In this dynamic role, you will leverage your technical expertise and sales acumen to provide cutting-edge solutions to our clients. You will work closely with our sales team to drive growth and enhance customer satisfaction by demonstrating the value of our advanced data protection and AI-driven security technologies.As a key player in our organization, you will engage with clients to understand their needs, deliver tailored presentations, and provide hands-on support during the implementation of our solutions. Your ability to communicate complex technical concepts to non-technical stakeholders will be crucial in helping our clients realize the full potential of our offerings.

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

At Tenstorrent, we are at the forefront of pioneering AI technology, transforming performance benchmarks, usability, and cost-effectiveness. As AI reshapes the computing landscape, our solutions adapt to integrate innovations across software modeling, compilers, platforms, networking, and semiconductor technology. Our talented team has engineered a high-performance RISC-V CPU from the ground up, fueled by our enthusiasm for AI and our commitment to creating the ultimate AI platform. We cherish collaboration, curiosity, and a dedication to tackling challenging problems. As we expand our team, we invite professionals at all levels to contribute to our vision.We are looking for a skilled AI Processor IP Product Engineer to serve as the technical link between our innovative AI processor technology and our customers' success. In this role, you will assist clients in integrating our state-of-the-art AI processors, RISC-V CPUs, and chiplet solutions into their System-on-Chips (SoCs), guaranteeing peak performance and expedited time-to-market. If you excel in customer-facing roles and are eager to impact the deployment of groundbreaking AI hardware industry-wide, we would love to have you on board.This is a hybrid position based in Toronto, Canada or Vancouver, Canada.We welcome candidates from various experience levels for this role. During the interview process, candidates will be evaluated for the appropriate level, and compensation will reflect that level, which may differ from the one stated in this posting.

About Future Secure AI Future Secure AI develops artificial intelligence solutions for real-world business challenges. The company’s technology supports teams across industries, emphasizing bold thinking, rigor, and curiosity. BRAVER values shape both the work and team culture, encouraging open communication and making space for every voice. Leadership maintains an open-door policy and supports individual growth as the company advances AI together. Role Overview: Senior AI Engineer – Software Development Senior AI Engineers (Software) at Future Secure AI lead customer-facing projects and collaborate with both client and partner technical teams. The role also works closely with internal groups to refine and improve technology solutions. Responsibilities span hands-on coding and aligning technical work with broader business and product strategies. Strong organizational skills and a drive to advance AI technology are essential. Locations Austin, TX New York, NY Toronto, CAN

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.

About OLIXAt OLIX, we are at the forefront of revolutionizing AI technology. As the demand for artificial intelligence accelerates, we face unprecedented challenges in infrastructure development. Traditional hardware designs are no longer sufficient. We are pioneering a transformative approach with our Optical Tensor Processing Unit (OTPU), which sets new benchmarks in performance and energy efficiency, paving the way for the future of computing.The RoleWe are looking for experienced Senior Compiler Engineers to join our innovative team. You will be instrumental in developing the machine learning backend (compiler, runtime, and debugger) for our state-of-the-art OPTUs, ensuring seamless integration with frameworks like PyTorch, TensorFlow, JAX, and MXNet. Your goal will be to enhance the performance capabilities of large-scale AI models while collaborating closely with hardware and modeling teams to optimize device trade-offs.Key ResponsibilitiesProject Ownership: Lead and execute projects that are critical to achieving significant technical and business milestones for OLIX.Architect & Build: Design and implement cutting-edge compiler, runtime, and debugging solutions tailored for custom hardware.Optimize Performance: Utilize advanced techniques such as layout, fusion, scheduling, and tiling to overcome performance barriers and maximize throughput.Mentor & Uphold Standards: Conduct code reviews, mentor fellow engineers, and champion best practices in ML backend and performance engineering.Guide Team Direction: Stay informed about the latest trends in GPU, AI accelerators, and optical computing; innovate and prototype new solutions.Qualifications & Experience5+ years of software engineering experience, specializing in C/C++ programming.Extensive knowledge of machine learning frameworks, compiler design, low-level programming, and optimization methodologies.Proven expertise in optimizing deep learning models with TensorFlow, PyTorch, or JAX.Familiarity with custom hardware design and implementation.