Staff AI Platform Engineer - Inference & Agentic Systems

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 system…

Join us at fiq as a Principal Engineer - New Initiatives, where you'll play a pivotal role in shaping our foundational platform. As a founding engineer, you will work on cutting-edge projects, collaborate with cross-functional teams, and drive innovative solutions that will set the stage for our company’s growth. This is an exciting opportunity to leverage your expertise in software engineering and architecture to create robust systems that support our vision.

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.

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.

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

Role overview 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

Marble AI develops AI-powered tools designed to help accounting firms and their clients manage taxes with greater efficiency. The team’s work centers on simplifying complex tax workflows for mid-sized and large firms. As an early-stage company, Marble AI encourages collaboration and focuses on solving important challenges for its customers. Role overview The Platform Engineer will play a key role in strengthening and expanding the infrastructure that supports Marble AI’s tax platform. Working closely with the engineering team, this position aims to accelerate product development and maintain secure systems capable of handling sensitive financial information. This role combines elements of infrastructure, DevOps, and Site Reliability Engineering. The Platform Engineer will design and maintain the platform, enhance developer tools, and ensure that systems remain secure, observable, and resilient. Input into the direction of the data platform and security practices across the technology stack is also expected. What you will do Build and manage cloud infrastructure using infrastructure-as-code principles. Take responsibility for system reliability, observability (with OTEL), and incident response. Design and refine developer tooling and CI/CD pipelines. Collaborate with product and data teams to address scalable data platform needs. Maintain strong security practices, especially in handling sensitive tax data. Optimize system performance, scalability, and cost across services. Contribute to infrastructure, backend systems, and developer workflows. Requirements Extensive experience with cloud infrastructure such as AWS or similar platforms. Hands-on expertise with Kubernetes, Terraform, and Helm. Background in DevOps, SRE, or platform engineering roles. Experience building and maintaining CI/CD pipelines or developer tools. Strong understanding of distributed systems, networking, and system reliability. Ability to deliver practical solutions while considering long-term system design. Location Toronto

Join RAVL, a leading boutique technology advisory and engineering firm dedicated to transforming the financial services sector. Our mission is to empower clients by maximizing their technology investments and delivering measurable ROI. We are expanding our engineering team and seeking talented Machine Learning Platform Engineers to architect and implement scalable ML solutions for our diverse clientele. Your expertise will be vital in developing cloud-native ML infrastructures, enhancing MLOps capabilities, and facilitating comprehensive model lifecycle management in enterprise settings. This position addresses immediate project demands and anticipates future hiring needs, with an emphasis on constructing robust, production-ready ML systems at scale.

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.

Location: Toronto Metropolitan AreaBase Salary: $200,000 – $225,000 (CAD)Company OverviewAt Teragonia, we are revolutionizing the private equity landscape with our cutting-edge AI Operating System. Our mission is to empower sponsors and their portfolio companies to transform fragmented operational data into actionable insights that enhance EBITDA. Operating in a high-stakes environment where results must be delivered within a 3 to 5-year horizon, we leverage our proprietary AI platform, Astradis™, to unify both structured and unstructured data, providing near real-time prescriptive insights that seamlessly integrate into existing workflows.We collaborate with private equity firms managing over US$400 billion in assets, driving measurable improvements and maintaining continuous readiness for exits. Our approach replaces traditional consulting with an AI-driven platform that amplifies expertise across various sectors and ownership cycles. Teragonia is designed for high-agency builders who seek early responsibility, direct interaction with top-tier private equity firms and their executives, and the opportunity to shape the operational framework for value creation in the AI era.We pride ourselves on offering a comprehensive career development platform, fostering cross-learning in a diverse, inclusive, and collaborative environment. Our competitive compensation package is aligned with industry leaders, featuring 401k matching, comprehensive health insurance, and additional benefits. Read more about our mission, vision, and values.

About UsAir-tek is an innovative Canadian software company recognized for its unique suite of products that have secured a significant presence in the global market. Our product-market fit is exceptional, and we are experiencing a surge in customer demand. During this phase of rapid growth, we maintain a discreet operational presence.Our diverse team is united by a shared passion for tackling complex challenges, a commitment to innovation, and an ambition to redefine the passenger-centric travel industry. Located in Toronto, we foster an inclusive culture based on trust, collaboration, excellence in product delivery, and continuous personal development. We take pride in our work and support each other as a team.About the TeamThe Platform Engineering team consists of highly collaborative software engineers dedicated to building, scaling, and maintaining the foundational infrastructure that empowers other teams to develop Air-tek’s software solutions. We focus on creating secure, scalable, and efficient infrastructure, employing modern development practices. Our impact is felt across the company as we work closely with operations, support, product management, and other engineering teams to meet Air-tek’s objectives.As a Senior Platform Engineer, you will play a pivotal role in designing, developing, and operating our core platform services, enabling us to deliver robust and reliable infrastructure solutions that support the expanding needs of our products.

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.

At RAVL, we empower technologists to elevate their careers through innovative solutions.We blend strategic insight with execution, deeply valuing our partnerships and measuring success by the meaningful impact we create. Our mission is to cultivate a team dedicated to achieving sustainable business outcomes in every endeavor.We aim to enhance our clients' experiences and foster a workplace where our employees are enthusiastic about Building. Better.As the Principal Data Engineering Leader at RAVL, you will architect and enhance enterprise-level data and AI platforms, ensuring they are secure, scalable, and high-performing. In your role as a Community of Practice (COP) Leader within the BuildIQ organization, you will develop cross-functional data and AI capabilities that elevate all Organizations of Engagement (OOEs). This includes providing expert architectural guidance, establishing platform standards, and creating reusable accelerators across teams.You will excel in ambiguous environments, embracing a results-driven mindset to deliver visible and significant progress. Success at RAVL involves a combination of profound technical expertise in raw data engineering, data platform architecture, and applied AI systems, coupled with creativity, an open mindset, and the ability to influence as a trusted advisor in complex client settings. This role carries the responsibility not only for project delivery but also for elevating the performance standards of the entire data discipline.

Join us as a Principal Software Engineer, where you'll play a pivotal role in designing and developing innovative software solutions that empower organizations to optimize their hiring processes. As a key member of our engineering team, you'll collaborate with top-tier talent, utilizing cutting-edge technologies to create software that redefines the future of recruitment.Lever, founded a decade ago, is on a mission to revolutionize the way companies attract and hire exceptional talent. Our platform is trusted by industry leaders like Netflix, Shopify, and Spotify, and we've established ourselves as innovators in the talent acquisition space. Recognized as the #1 workplace in San Francisco and a top employer in the United States, we take pride in our people-first culture and are committed to nurturing our talented workforce.

Join our dynamic team at Kaseya as a Principal Software Engineer, where you will lead the design and implementation of innovative software solutions. You will collaborate with cross-functional teams, mentor junior engineers, and drive best practices in software development.

Role Overview Guidepoint is looking for a Senior Platform Engineer to strengthen infrastructure reliability and improve the developer experience. This hybrid role is based in Toronto, Ontario. What You Will Do Enhance the scalability and reliability of a Kubernetes-based cloud environment. Lead the shift toward a self-service platform model for internal teams. Apply software engineering principles to infrastructure challenges. Use Agentic AI to automate complex workflows and develop "Golden Paths" that reduce manual steps. Design and build software to manage and monitor Kubernetes clusters, focusing on resilience, cost-efficiency, and self-healing systems. Location and Work Model This is a hybrid position based out of Guidepoint's Toronto office.