Senior Software Engineer - AI Fintech Foundation

Socure builds identity trust infrastructure for the digital world, focusing on real-time verification and proactive fraud prevention. Its technology helps businesses, governments, and individuals confirm legitimate identities and reduce risk every day. The Senior Software Engineer – Agentic AI Foundations position is fully remote within Canada. This role joins the Agentic AI Foundations team, which is responsible for designing and building the core platform and systems that transition Socure from traditional software to agent-native operations. The work combines applied AI, platform engineering, and system design. This is a zero-to-one role with significant influence on the technical direction. The team’s mission centers on creating a secure, evaluable, and vendor-agnostic agent platform that supports other Socure teams. Contributions in this role will shape the architecture, reliability, and safety of agentic systems used internally and eventually in customer-facing products. What you will do Architect and develop foundational agentic AI platforms and systems Collaborate with Platform, Product, Data Science, and other engineering teams Drive best practices for building secure, observable, and scalable agent systems Take ownership of core components and influence technical direction Help deliver agent-powered workflows that support real business needs Who thrives here Engineers who value responsibility and autonomy People who act quickly, think critically, and take ownership Those who care about accuracy and solving complex client challenges Individuals comfortable with ambiguity and broad scope This team values high standards and collaboration. Socure offers a place to make an impact for those interested in shaping the future of identity through agentic AI.

Klue helps businesses transform scattered competitive data into clear, actionable insights. The Vancouver team is expanding and seeking a Senior Software Engineer with a focus on AI agent development. Role overview This position centers on designing and operating large language model (LLM)-powered agents at scale. Responsibilities span multi-agent orchestration, sub-agent design, and building evaluation frameworks to ensure outputs are both reliable and measurable. The work covers the full stack, including optimizing inference costs, improving retrieval and query performance, and creating feedback loops for ongoing system improvement. In addition to technical execution, this engineer will help shape the product roadmap by offering technical guidance and collaborating closely with product leadership. The role involves guiding projects from early architecture through experimentation and into production, always with an eye on production readiness and measurable results. What you will do Develop and deploy backend systems for agentic workflows. Design retrieval pipelines, orchestration layers, and agent architectures that process large volumes of competitive data, such as news, press releases, website updates, Slack messages, emails, reviews, and CRM data, into actionable intelligence for clients. Enhance LLM-powered workflows end-to-end. Work on prompt design, retrieval strategies, caching, and latency optimization to make agent responses fast, accurate, and reliable in production. Lead evaluations of agent systems at scale. Build and manage evaluation frameworks (automated, offline, and human-in-the-loop) to assess relevance, quality, latency, and overall task success. Define excellence metrics and set up infrastructure for ongoing measurement. Design and implement human-in-the-loop systems. Collaborate with product and design teams to propose and prototype feedback mechanisms, review workflows, and correction loops that help keep AI agents accurate and trustworthy over time. Location This role is based in Vancouver, British Columbia. Learn more about Klue at klue.com.

Cresta is dedicated to transforming customer interactions into a strategic advantage by harnessing the full potential of contact centers. Our innovative platform integrates advanced AI technologies with human intelligence to reveal customer insights, streamline conversations, and enhance operational efficiency, allowing teams to work more effectively. Founded by Sebastian Thrun, a visionary from the Stanford AI lab and the mind behind Google X and Waymo, our leadership team also features CEO Ping Wu, a co-founder of Google Contact Center AI, and Tim Shi, an early member of OpenAI. Join us on an exciting journey to redefine the future of work through AI innovation. The revolution begins at Cresta. About the Role: The AI Agent team at Cresta is committed to developing leading-edge AI Agents that tackle real-world challenges for our clients. We focus on utilizing the latest advancements in Large Language Models (LLMs) and AI Agent systems while ensuring our solutions are secure, cost-effective, and dependable. This role offers hands-on involvement with pioneering projects, requiring innovative software engineers who can translate research into scalable, practical applications. As a Senior Software Engineer, your mission will be to ensure our AI Agents are powered by dependable and scalable server solutions. This encompasses designing and maintaining server architecture capable of managing high-volume interactions while guaranteeing optimal performance and availability. While our emphasis is on server optimization and data management rather than pure research, you will engage with cutting-edge technologies in the cloud and server domains. This is a rare opportunity to influence the AI landscape at Cresta by addressing complex challenges and implementing groundbreaking advancements in production settings.

Cresta is dedicated to transforming customer conversations into a competitive edge by harnessing the full potential of the contact center. Our innovative platform merges cutting-edge AI with human intelligence, enabling contact centers to uncover valuable customer insights, optimize communication processes, and empower team members to work with greater efficiency. Founded by Sebastian Thrun, a pioneer from the esteemed Stanford AI lab and the visionary behind Google X, Waymo, and Udacity, Cresta's leadership team also includes CEO Ping Wu, co-founder of Google Contact Center AI and Vertex AI platform, and Tim Shi, an early member of OpenAI.Join us on this exciting journey to reshape the workforce using the power of AI. The future of work is here, and it starts at Cresta.

Cresta is dedicated to transforming every customer interaction into a strategic advantage by harnessing the full potential of contact centers. Our innovative platform merges cutting-edge AI with human expertise to provide contact centers with invaluable customer insights, optimize processes, automate conversations, and empower team members to excel in their roles. Founded by the visionary Sebastian Thrun, renowned for his work with Google X and Waymo, and supported by an exceptional leadership team including CEO Ping Wu and co-founder Tim Shi, we are on the forefront of AI advancements.Join us on this exciting journey to redefine the future of work through AI at Cresta.About the Role:The AI Agent team at Cresta is developing enterprise-grade AI Agents designed to function effectively within real-world contact center settings. A vital aspect of this mission is to ensure that our AI Agents can integrate seamlessly with various CCaaS platforms (Contact Center as a Service), facilitating smooth transitions between AI and human agents as required.This role focuses on building robust backend systems that empower our AI Agents to:Integrate extensively with leading CCaaS platformsEngage in live customer conversations across voice and chatMaintain a complete conversation state and contextExecute real-time actions within the CCaaS ecosystemEffortlessly transition conversations to human agents without losing context, history, or workflow stateAssist human agents with AI support post-transferWe seek talented backend engineers eager to work at the intersection of distributed systems, real-time communication, enterprise integrations, and AI orchestration.This is not merely a research position; it is focused on constructing production-grade infrastructure that ensures AI Agents operate reliably within mission-critical customer environments.Why This Role Is Unique:AI + Real-Time Systems: Contribute to infrastructure that enables AI Agents to participate in live conversations on a large scale.Enterprise-Grade Integrations: Design robust connections with major CCaaS platforms and customer systems.

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.

Role Overview hopper is seeking a Senior Software Engineer with a focus on artificial intelligence for financial technology. This remote role is open to candidates based in Canada. What You Will Do Develop software solutions using AI to address challenges in the financial sector Work closely with colleagues from different teams to design, build, and maintain applications Contribute to projects that improve user experience and support business goals Location Remote within Canada

Cresta is dedicated to transforming every customer interaction into a strategic advantage by harnessing the full potential of contact centers. Our innovative platform seamlessly integrates advanced AI with human intelligence, enabling contact centers to uncover customer insights, streamline conversations, and optimize workflows. With roots in the esteemed Stanford AI lab, our co-founder and chairman, Sebastian Thrun, is renowned for his groundbreaking work at Google X, Waymo, Udacity, and beyond. Our leadership team also boasts CEO Ping Wu, co-founder of Google Contact Center AI, and Tim Shi, an early contributor at OpenAI.Embark on this exciting journey with us to revolutionize the workforce through AI. The future of work is unfolding at Cresta.About the Role:As part of the AI Agent team, you will contribute to the development of cutting-edge AI Agents designed to tackle real-world challenges faced by our clients. Your focus will be on leveraging the latest advancements in Large Language Models (LLMs) and AI Agent systems, ensuring that the solutions we create are secure, cost-effective, and reliable. This position requires hands-on engagement with state-of-the-art projects, calling for innovative and passionate software engineers capable of translating research into scalable, practical applications.Your primary responsibility will be to guarantee that our AI Agents are supported by resilient and scalable server solutions. This entails designing and maintaining the server architecture capable of managing high-volume, real-world interactions while maintaining optimal performance and availability. Although our focus is on server optimization and data management rather than pure research, you will work with some of the most advanced technologies in cloud and server infrastructure.This is a rare opportunity to influence the future of AI at Cresta by addressing complex problems and deploying groundbreaking AI solutions in production environments.

Join Cohere as a Senior Software Engineer, specializing in Agent Infrastructure. In this role, you will lead the design and implementation of robust software solutions that enhance our agent infrastructure capabilities. Collaborate with cross-functional teams to drive innovation and optimize our systems for performance and scalability.

Join Huawei Canada as a Senior Principal Software Engineer!About Our Team:The Distributed Scheduling and Data Engine Lab, established in 2014, serves as Huawei Cloud's innovation hub in Canada. We specialize in pioneering advanced cloud technologies, facilitating the productization and continuous enhancement of our technical innovations. Our research focuses on diverse areas such as cloud multi-agent systems, cloud-native databases, resource scheduling, middleware solutions, and user experience studies. With a dynamic technical environment, we collaborate with industry leaders to build a highly competitive cloud platform.Your Role:Lead the design and deployment of comprehensive multi-agent evaluation systems on cloud platforms, implementing agent coordination strategies including reinforcement learning and hierarchical planning.Design, develop, and scale next-generation AI multi-agent systems for enhanced collaboration and autonomous execution.Stay at the forefront of AI agent research trends, integrating novel models and orchestration techniques to expand our technical capabilities.Work collaboratively with a global team of AI researchers to embed advanced AI functionalities into existing frameworks.Conduct in-depth analysis and implementation of GenAI solutions, focusing on Agentic Orchestration and Agent Builder frameworks.Engage in technical research and development activities, contributing to project deliveries.This role may require overseas travel.

Join Asana as a Senior Engineering Manager, where you will lead a dynamic team focused on developing innovative AI Agents that enhance productivity and collaboration. In this pivotal role, you will shape the vision and strategic direction of our AI initiatives, guiding engineers to build cutting-edge solutions that empower our users. You'll work closely with cross-functional partners to drive the successful execution of projects from inception to launch.

About the RoleJoin Hopper, where our cutting-edge technology powers some of the world's largest travel portals. Our Hopper Technology Solutions (HTS) platform facilitates travel purchases for prominent global brands, including banks, airlines, and fintech innovators. This versatile, multi-tenant travel commerce engine allows partners to launch exceptional hotel and travel booking experiences swiftly, minimizing the need for custom engineering.We are seeking a Senior Software Engineer who excels in AI-assisted coding practices. Rather than merely using AI for code completion, you leverage multiple agents to autonomously deliver features at unprecedented speeds. Your deep understanding of the strengths and limitations of LLMs enables you to develop effective feedback loops and guardrails to maximize their potential.Technical StackOur backend is built with Scala, integrated with a suite of GCP services. The frontend comprises web applications utilizing React and TypeScript.Your Daily ResponsibilitiesIdentify and implement enhancements to the codebase, ensuring faster and safer operations for agents.Collaborate with a team of elite engineers in a trust-driven, low-process environment that fosters high autonomy.Utilize AI to create comprehensive documentation and specifications that facilitate asynchronous decision-making and consensus within the team.Rapidly deliver and iterate on features by orchestrating AI agents to construct new functionalities from user experience to database with minimal oversight.Design scalable solutions and foundational patterns that streamline the launch of new portals.Demonstrated experience in training, deploying, and continuously optimizing LLMs to enhance complex product features.Engage directly with Product Managers and business stakeholders to define and refine our strategic roadmap; your insights and technical vision carry weight.Collaborate with a diverse team, providing and receiving constructive feedback essential for professional growth.Ideal Candidate ProfileA proactive approach to navigating unfamiliar codebases while remaining focused on delivering swift results.Proven ability to guide AI agents and automated workflows to architect, implement, and maintain sophisticated software systems with minimal human input.Expertise in designing and developing scalable software solutions.

At Affirm, we are transforming the credit landscape to prioritize transparency and user-friendliness, empowering consumers to make purchases now and pay later with no hidden fees or accumulating interest.We are on the hunt for a talented Software Engineer II to become a vital member of our AI Agents engineering team within the Servicing Engineering organization. This team collaborates closely with an omnichannel AI agent vendor to deliver a conversational first point of contact for our customers. Our focus lies in orchestrating Affirm's systems to continuously innovate and find solutions for our customers. As we navigate uncharted territories, we seek a proactive individual who is ready to take ownership and deliver results.Key Responsibilities· Collaborate with your team’s tech lead and manager to decompose larger projects into manageable tasks, delivering them in phases while ensuring timely completion.· Partner with product management, design, and analytics throughout the product development lifecycle, engaging in ideation, articulating technical constraints, and making informed decisions that weigh risks and trade-offs.· Ensure the operations and availability of your team's deliverables by establishing metrics, escalating issues when necessary, and supporting ongoing maintenance and on-call duties.· Foster a sense of community within your team by engaging in growth and development initiatives, including participating in the interview process.

Join Huawei Canada as a Senior Research Engineer, specializing in AI Agents and AgentOps.About Our Team:Since its inception in 2014, the Distributed Scheduling and Data Engine Lab has been at the forefront of Huawei Cloud's innovation in Canada. We delve into cutting-edge cloud technologies, enhancing product development and continuous improvement. Our research encompasses cloud-native databases, resource scheduling, middleware, media processing, and user experience studies. We cultivate a dynamic technical environment, collaborating with industry experts to build a leading cloud platform.Your Role:Design and develop LLM-driven AI agents tailored for cloud services, with a strong focus on agent design, orchestration, and integration within PaaS platforms.Translate complex academic theories into practical, scalable production code, enhancing AI tools and application platforms.Collaborate with AI researchers and cloud engineers to architect, implement, and assess AI-driven systems.Ensure optimal performance and reliability of AI workflows through thorough testing and evaluation.Engage in applied research with opportunities for publication, patenting, and advancing the frontiers of autonomous AI systems.The anticipated annual total compensation for this role ranges from $127,000 to $225,000, contingent on qualifications, experience, and proven expertise.

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 the Revolution at Stay22At Stay22, we are transforming the way individuals convert online. Our AI-driven affiliate platform empowers publishers, ticketing platforms, and content creators to unlock new revenue streams while enhancing the user experience for their audiences. With Stay22, our partners don't just earn more; they deliver more. Become part of our mission to disrupt the affiliate space and make a real impact.Position OverviewThis role demands a strategic engineering approach that exceeds mere coding. You'll assess critical development decisions and select optimal API management strategies to provide a world-class development experience. You will not only build our 'Data as a Product' platform, which will create new revenue opportunities and facilitate our entry into the AI agent ecosystem, but also be its first user, designing the initial AI agents that showcase its power and potential. If you are a systemic thinker driven by solving complex large-scale problems and crafting elegant, sustainable platforms, this opportunity is for you.Key ResponsibilitiesLead the design, development, and full deployment of Stay22's new public API platform.Utilize your expertise in Python, Node.js, and TypeScript to develop scalable, secure, and well-documented RESTful or GraphQL APIs.Develop and launch the first generation of Stay22 AI agents for third-party markets (e.g., OpenAI, GCP Agents), leveraging the API platform you help create.Collaborate closely with the Data, Neuro, and Integrations teams to define data contracts and integrate their services into a unified API product.Work with the Forge team (platform) to implement best practices for CI/CD, infrastructure as code, security, and observability for the API platform.Establish and advocate for API design standards, versioning strategies, and comprehensive documentation to ensure a world-class development experience for internal and external partners.Design and implement testing strategies (unit, integration, and performance) to ensure the robustness of the API platform.

About Us:At Cohere, our mission is to enhance intelligence for the betterment of humanity. We specialize in training and deploying cutting-edge models for developers and enterprises, empowering them to create remarkable AI-driven experiences such as content generation, semantic search, retrieval-augmented generation (RAG), and intelligent agents. We believe our efforts are pivotal in advancing the widespread integration of AI.We take immense pride in our creations, and each team member plays a crucial role in enhancing our models and delivering exceptional value to our clients. Our culture is rooted in hard work and agility, always prioritizing the needs of our customers.Cohere brings together a diverse team of researchers, engineers, designers, and more, all deeply passionate about their respective fields. We recognize that a variety of perspectives is key to developing outstanding products.Join our mission to shape the future of AI!Why This Position Matters:Are you driven by a passion for secure software development? Do you aspire to be at the forefront of AI innovation while ensuring enterprise security? Join Cohere's North team as a Senior Software Engineer focused on security, and make a meaningful impact.Your Responsibilities:In this pivotal role, you will be instrumental in constructing and securing the architecture of North, our AI workspace platform. Your key responsibilities will include:Designing and deploying security features for North, our AI workspace platform.Creating autonomous agents capable of interacting securely with sensitive enterprise data.Developing minimal code that operates in low-resource environments, adhering to rigorous deployment standards.Integrating new tools to enhance the security features of North.Reinventing solutions as needed to meet stringent security and privacy requirements, sometimes necessitating the development of custom solutions.Conducting application security testing to ensure your code withstands real-world threats.Ideal Candidate Profile:5+ years of experience in software engineering with a solid emphasis on developing user-facing security features.Proficient in Python with a proven track record of deploying production-level code.Strong analytical skills and a problem-solving mindset, capable of tackling complex challenges within security frameworks.Familiarity with security testing methodologies and tools.

Did you know that Hopper's technology powers some of the largest travel portals globally? Our Hopper Technology Solutions (HTS) platform facilitates travel transactions for leading global brands, from banks to airlines and fintech leaders. Essentially, this platform is a multi-tenant, configurable travel commerce engine that enables our partners to launch world-class booking experiences more swiftly, with minimal custom engineering.We are seeking a Senior Software Engineer who has embraced AI-assisted coding best practices. You don’t just use AI for code autocompletion; you leverage multiple agents to autonomously deliver features at an unprecedented speed. You possess a deep understanding of the strengths and weaknesses of LLMs and know how to implement feedback loops and safeguards to maximize their potential.Technology StackOur backend systems are built with Scala, utilizing the GCP service suite.Our frontends are web applications developed using React + TypeScript.Your Daily ResponsibilitiesIdentify and execute improvements to the codebase to facilitate faster and safer operation of AI agents.Collaborate with a high-caliber engineering team in an agile environment based on trust and autonomy.Guide decision-making and consensus asynchronously by utilizing AI for rigorous documentation and specifications.Deliver quickly. Learn rapidly. Iterate. Orchestrate AI agents to build new features from concept to execution (from UX to database) with minimal oversight.Design scalable solutions and foundational models that enable us to launch new portals efficiently.Work directly with product managers (PMs) and business partners to define our roadmap; your voice and technical vision are valued.Collaborate within a diverse team, providing and receiving constructive feedback essential for your professional growth.The Ideal CandidateA natural inclination towards...

Join Our Team as a Senior AI-Native Software EngineerLocation: Preferred Montreal, Canada (hybrid), Austin, TX (hybrid), or anywhere on the East CoastLansweeper is transforming its engineering framework towards an AI-native development paradigm. We are seeking a Senior AI-Native Software Engineer to spearhead the development of robust and scalable systems, harnessing AI as a significant development catalyst.Your mission is to design and deliver high-quality, production-grade software within an AI-enhanced workflow, ensuring engineering excellence, performance, and architectural integrity.In the coming phase, you will collaborate with the Redjack integration team, focusing on system quality, architectural clarity, and scalable design as various AI-assisted development initiatives operate concurrently.Key ChallengesAs a Senior AI-Native Software Engineer, you will navigate the following challenges:Upholding engineering quality and system integrity in an AI-supported development environmentEnhancing system scalability while ensuring performance, reliability, and architectural clarityManaging simultaneous AI-driven development workflows while maintaining technical coherencePrimary ResponsibilitiesCraft and develop maintainable, scalable, observable, and rigorously tested software systemsEngage in an AI-augmented development workflow: break down problems, guide AI tools, review AI-generated code, and assure production-grade qualityParticipate in architectural discussions, long-term system evolution, and strategic technical directionUtilize strong system thinking across data models, APIs, distributed systems, and service boundariesGenerate clear technical documentation, structured prompts, and design proposals to boost collaboration between engineers and AI systemsMentor fellow engineers and work cross-functionally with Product, UX, and other Engineering teams