Software Engineer, Android (Multistack / AI-Native) at League | Toronto

About PalonaAt Palona, we are innovating operational systems for the restaurant industry with a mission to empower restaurateurs to manage their establishments with unparalleled efficiency. We specialize in creating real-world AI systems that function continuously in a production environment. Our focus is on developing AI agents capable of perceiving, reasoning, remembering, and taking action within complex physical settings.Restaurants present intricate physical environments that our AI must navigate. We are dedicated to research that stands up to real-world challenges, assisting us in understanding and acting effectively.Join Us in TorontoToronto boasts one of the most dynamic culinary scenes in North America, home to nearly 10,000 restaurants. Our proximity to clients enhances our ability to deliver tailored solutions. The city continually attracts top AI talent, excelling in both foundational AI research and practical applications. Palona is eager to broaden our engineering and research footprint in Toronto, and we invite you to be part of our Toronto office.Who is a Good Fit for Palona?You consider yourself an advanced AI software engineer, always exploring the latest AI tools and technologies.You believe your productivity exceeds that of your peers by at least tenfold.You are passionate about delivering exceptional products to your customers.You want to create innovative and exciting products.You value collaboration and care for your teammates.Who May Not Be a Good Fit for Us?You have yet to experience a transformative moment in AI.You have not been concerned about the costs associated with AI model tokens.You do not prioritize good software design principles.You are not focused on customer satisfaction.Job DescriptionWe are looking for an AI Software Engineer with a strong track record in developing comprehensive end-to-end AI products from the ground up in startup settings. You will design, develop, and deploy autonomous AI systems from inception to production. We seek quick learners who thrive on challenges and have experience delivering AI products independently in fast-paced, resource-limited environments. This role necessitates in-person commitment in Downtown Toronto.Key ResponsibilitiesDesign and deploy complete end-to-end AI products and intelligent agents from concept to production.Create autonomous systems and multi-agent architectures to address complex challenges.Launch AI agents into production with a strong emphasis on reliability and performance, utilizing cutting-edge AI models (LLMs, VLMs).Rapidly prototype and refine AI solutions in an agile startup atmosphere.Take full ownership of projects, delivering the most impactful results for our customers.

Join Palona as an AI Software Engineer and unleash your potential in a dynamic startup environment. We are looking for a talented individual with a strong background in developing comprehensive, end-to-end AI products from the ground up. In this role, you will have the opportunity to design, develop, and deploy autonomous AI systems, taking them from initial concept through to production. Ideal candidates are quick learners who thrive on challenges and have successfully delivered AI solutions independently in fast-paced, resource-constrained settings.Key Responsibilities Develop and ship sophisticated end-to-end AI products and intelligent agents from inception to deployment. Design autonomous systems and multi-agent frameworks that address intricate challenges. Focus on the reliability and performance of deployed AI agents. Rapidly prototype and refine AI solutions in an agile startup environment. Assume full ownership of projects and drive them to successful completion with minimal oversight. Integrate cutting-edge AI models (such as LLMs and computer vision technologies) into production-grade applications.

About UsAt Marble, we are at the forefront of revolutionizing tax preparation through our AI-powered platform. Our mission is to alleviate the complexities of tax season for mid-to-large accounting firms with intelligent tools that enhance their workflows. As a rapidly growing company, we pride ourselves on our collaborative culture and unwavering commitment to solving significant challenges for our clients.About the RoleWe are looking for a passionate and experienced Senior Software Engineer to play a pivotal role in shaping our AI-first tax platform. This role offers an incredible opportunity for individuals who desire ownership over architectural design, technical strategy, and key product decisions. You will collaborate on both user-facing applications and backend services to create a seamless, intelligent, and user-friendly tax preparation experience.If you thrive in fast-paced environments and are eager to utilize AI technologies to tackle real-world challenges, we would love to hear from you.What You’ll DoBe at the forefront of developing the future of our AI-driven tax preparation platform.Lead the design and implementation of critical components of our product architecture.Build and enhance user experiences across our full technology stack.Navigate the entire product lifecycle with confidence and expertise.Mentor fellow engineers and elevate our team's execution by fostering best practices.What We’re Looking ForExtensive experience in building and scaling production web applications.A strong sense of ownership and conviction in creating exceptional products.A focus on addressing customer needs and delivering maximum value.Bonus PointsExperience with AI products and tools.Familiarity with ETL pipelines or managing data at scale.Background in fast-paced startups with a focus on product-led growth.Experience in the tax, accounting, or fintech sectors.Tech StackFrontend: React, Remix (React-Router)Backend: TypeScript, Node.js (Fastify), PostgreSQL

About Us: Axiomatic AI is pioneering a new generation of AI systems that employ the scientific method's rigor. By integrating deep learning with formal logic and physics-based modeling, we develop AI systems that are both verifiable and interpretable. Our solutions work in tandem with human researchers, enhancing their capabilities in critical scientific and engineering workflows. Our Mission, 30×30, is to achieve a 30-fold improvement in the speed, accessibility, and affordability of semiconductor and photonic hardware development by the year 2030. We are on a mission to transform hardware design and simulation within these sectors and are assembling a passionate team of professionals dedicated to translating groundbreaking research into commercial products. Position Overview We are in search of a Measurement Software Engineer to design and implement AX-Measure, the core of our autonomous laboratory. Your role will involve developing robust software layers that convert high-level AI decisions into precise, low-level commands for hardware operations. Your programming will govern millions of dollars worth of equipment, manage terabytes of measurement data, and ensure our 'self-driving' lab operates seamlessly. Responsibilities Create unified APIs enabling our AI agents to interact with various instruments, including oscilloscopes, network analyzers, SMUs, signal generators, and lasers. Develop high-concurrency execution engines for coordinating parallel measurements across multiple wafer chucks or cryostats. Design data pipelines and storage solutions to efficiently ingest high-frequency data streams, making them readily accessible for AI model queries. Implement 'guardrail' logic to prevent AI from initiating unsafe operations and to verify AI outputs. Integrate measurement outcomes with data analysis and modeling frameworks to enable closed-loop semiconductor development. Requirements B.S. or M.S. in Electrical or Computer Engineering, or a related discipline. 2+ years of extensive experience in production-grade Python, including proficiency in packaging (Poetry/UV), type hinting, decorators, and context managers. 2+ years of experience in automating hardware through VISA, SCPI, TCP/IP, or gRPC. 2+ years of experience in designing SDKs or APIs. 2+ years of experience in developing structured scientific data formats (HDF5) and time-series databases. Preferred Qualifications Familiarity with Rust or C++ for performance-critical applications.

Company OverviewAt Maxima, we are pioneering an innovative AI platform designed to revolutionize enterprise accounting automation. Our solution adeptly manages intricate accounting workflows and high-volume financial data, ensuring precision and dependability.We are committed to addressing the most challenging aspects of enterprise automation, supported by a stellar engineering team comprised of experts from industry leaders such as Robinhood, Glean, Google, Netflix, and Meta. With backing from renowned investors like Kleiner Perkins and Redpoint Ventures, we are proud to serve prominent clients including Scale AI and Rippling.Position SummaryAs we establish our new engineering office in downtown Toronto, we are seeking a versatile Software Engineer. This role encompasses a wide range of responsibilities across the tech stack, allowing you to significantly influence the culture and direction of our Toronto office.

About UsAt Marble, we are pioneering an AI-driven tax assistant and preparation platform that revolutionizes the way accounting firms and their clients navigate tax season. Our mission is to address the challenges faced by mid-to-large size accounting firms through intelligent solutions that simplify intricate tax workflows. As a forward-thinking startup, we embrace collaboration and are committed to tackling significant, impactful issues for our users.About the RoleWe are looking for a talented Software Engineer to contribute to the development of our AI-first tax platform's core user experience. Joining us at this early stage means you will have an influential role in defining the architecture and features of our innovative product from the ground up. This is an exceptional chance to make a substantial impact in a fast-paced startup environment, working on applications that will transform tax preparation into a seamless experience for users.If you excel in dynamic settings and have a passion for using AI tools to address real-world challenges, we would love to connect with you.What You’ll DoEngage in the forefront of developing the future's AI-first tax preparation platformContribute to enhancing our core user experiencesCollaborate closely with the founding team to define our product roadmapIntegrate AI-driven tax data across our platformPossess the confidence to operate across the entire stack and manage the product lifecycle end-to-endWhat We’re Looking ForProven experience in building and scaling user-focused web applicationsFamiliarity with diverse web frameworks (both frontend and backend)Strong product intuition coupled with meticulous attention to detailA passion for problem-solving and delivering exceptional value to customersBonus PointsExperience with AI products and toolsExperience with ETL pipelines or managing large-scale dataBackground in fast-paced startups with a focus on product-led growthFamiliarity with the tax, accounting, or fintech industriesTech We UseFrontend: React, Remix (React Router)

Join Our Team: At Emburse, we are not just envisioning the future – we are actively creating it. As a frontrunner in travel and expense management solutions, we are committed to fostering an environment where technology enhances business value and sparks remarkable outcomes. Our innovative AI-driven platform empowers organizations to modernize their financial operations, enhance visibility, and effectively manage spending throughout the enterprise.As a Software Engineer at Emburse, you'll play a crucial role in developing an engaging and cohesive suite of system solutions. Your contributions will directly improve customer experiences, tackle intriguing challenges, and help design pioneering solutions. Emburse is celebrated for its continuous innovation and award-winning technologies, ensuring that you will collaborate with some of the brightest minds in the industry, providing an excellent opportunity for professional growth and advancement.

Overview: Join Guidepoint as a skilled Data/AI Engineer and become a vital part of our innovative AI team in Toronto. Our Technology Hub is at the forefront of developing a modern data infrastructure that empowers advanced analytics and promotes responsible AI practices. This strategic initiative is crucial to Guidepoint's vision of harnessing cutting-edge Generative AI and analytical capabilities to enhance our Next-Gen research enablement platform and data-driven products. This role requires remarkable leadership and technical expertise to propel the creation of next-generation research enablement platforms and AI-enhanced data solutions. You will be responsible for designing and scaling Generative AI systems, including large language model (LLM) applications and intelligent research agents, while integrating responsible AI principles and top-tier MLOps practices. As a Senior AI/ML Engineer, you will play a key role in building scalable AI/ML functionalities using Databricks and other advanced tools across Guidepoint’s suite of offerings. The Technology team at Guidepoint thrives on solving complex problems and enhancing user experiences. In alignment with our mission to make individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, our engineering team is tackling challenges to refine internal application architectures and develop new AI-enabled products that optimize our service delivery. This is a hybrid position based in Toronto.

Klue develops competitive intelligence solutions for businesses, with a growing engineering team in Toronto. The Senior Software Engineer, AI, will help shape the next generation of LLM-powered agents and advanced search systems. Role overview This position centers on designing and optimizing backend systems for agentic workflows. The work involves retrieval-augmented generation (RAG), dense retrieval, query understanding, and agentic reasoning. The goal is to deliver fast, accurate, and reliable search experiences for Klue's clients. What you will do Develop and deploy backend systems that support agentic workflows. Build retrieval pipelines, orchestration layers, and multi-step agent architectures to transform large volumes of competitive data, news, press releases, web updates, Slack, email, reviews, and CRM information, into actionable intelligence. Lead evaluation of agentic systems. Create and maintain automated, offline, and human-in-the-loop evaluation frameworks. Define success metrics and build infrastructure for continuous measurement of relevance, quality, latency, and task success. Design and refine retrieval and ranking systems. Work across hybrid retrieval, re-ranking, query rewriting, and post-retrieval synthesis. Balance trade-offs between BM25, dense retrieval, and hybrid methods to ensure agents provide timely and relevant information. Enhance LLM-powered workflows. Improve prompt design, retrieval strategies, caching, and latency to make agent responses faster, more accurate, and more reliable in production. Prioritize customer-centric development. Connect technical decisions to customer outcomes. Use insights from customer interactions to guide feature prioritization and improvements, adopting an iterative approach and measuring impact. Location This position is based in Toronto, Ontario. Learn more about Klue at klue.com.

Klue develops competitive intelligence tools that help organizations turn information into actionable insights. The team is expanding its Engineering group in Toronto, with a focus on practical AI applications that support insight generation. Role overview The AI Software Engineer will work on developing and refining large language model (LLM)-powered agents. This position centers on building systems for reasoning, planning, and workflow automation, as Klue advances its approach to generating insights. The work involves hands-on development with modern AI technologies, especially for those with strong backend and machine learning experience. Key responsibilities Design retrieval-augmented generation (RAG) systems to improve query understanding, document retrieval, and response synthesis using agentic workflows. Build and optimize retrieval pipelines, including BM25, dense retrieval, hybrid retrieval, and re-ranking methods. Create evaluation frameworks for retrieval and generation, focusing on offline metrics such as recall, MRR, nDCG, and human-in-the-loop assessments. Experiment with query rewriting, expansion, and classification to enhance retrieval relevance. Collaborate with Product teams to launch machine learning-powered search agents in production settings. Monitor, debug, and optimize latency, accuracy, and scalability for retrieval and generation components. Contribute to the design and implementation of data pipelines for training retrieval and ranking models, including dataset curation, augmentation, and labeling workflows. Stay current with new developments in LLMs, retrieval strategies, and agent architectures, and assess their relevance for Klue’s systems. Requirements Experience in software engineering. Familiarity with information retrieval systems, search relevance, and ranking models. Strong background in machine learning and backend technologies. Ability to work well within a team.

At Relay, we are on a mission to empower self-made business owners through our innovative digital banking platform. Our goal is to provide these entrepreneurs with the financial clarity, confidence, and control needed to transform their hard work into enduring success. By eliminating the uncertainties of finance, we help turn cash flow from a source of stress into a powerful tool for building robust and resilient businesses.Our Engineering team plays a pivotal role in creating banking products that drive the success of millions of small businesses. As we embark on a transformative journey in the banking sector, we are seeking a passionate and impact-oriented Senior Software Engineer to join our expanding team. We value individuals who embrace smart risks, boldly experiment, and learn from challenges.In this role, you will confront complex challenges, deliver high-quality and robust code, and help shape the systems that underpin our products. This is a unique opportunity to engage with our entire product suite, influence technical decisions, and implement features that our customers adore. If you are eager to create top-tier fintech products within a fast-paced, collaborative environment, this position is perfect for you.Key ResponsibilitiesFull-Cycle Development: Take ownership of features throughout the entire development lifecycle—from design and development to testing, deployment, and monitoring—ensuring reliability and performance at scale.Infrastructure Management: Oversee our production systems, enhance infrastructure, and contribute to the availability, scalability, and resilience of our platform.Collaborative Partnership: Work closely with Product, Design, and cross-functional teams to develop solutions that align with customer and business needs.Innovative Mindset: Proactively seek out opportunities for technical, process, and product enhancements, driving the team to elevate standards and influence long-term technical strategies.Your QualificationsA minimum of 3 years of experience in full-stack software engineering.Demonstrated leadership in developing significant components or features, successfully delivering them with minimal oversight.Experience mentoring junior engineers, sharing knowledge, and fostering the growth and skill development of the entire team.

About MagicalMagical is a cutting-edge automation platform revolutionizing the healthcare sector through advanced AI technology. We develop AI agents designed to enhance productivity by automating tedious and repetitive tasks that hinder operational efficiency.Our primary focus is on healthcare, a vast $4 trillion industry often bogged down by administrative inefficiencies. By streamlining processes such as claims management, prior authorizations, and eligibility verification, we empower healthcare providers to concentrate on what matters most: patient care.Our AchievementsThe transition to agentic automation is gaining momentum, and Magical is at the forefront:Dramatic revenue growth with clients diversifying into additional workflows prior to renewal.Rapid proof-of-concept deployments, providing tangible value within just 7 days, compared to industry standards of several months.Reliable, self-repairing automation solutions that scale effectively, where many competitors struggle to succeed.We pride ourselves on delivering dependable solutions that yield measurable outcomes, supported by top-tier investors such as Greylock, Coatue, and Lightspeed. Our founder, Harpaul Sambhi, is a seasoned entrepreneur who previously sold his first venture to LinkedIn.Role OverviewAs a Senior Software Engineer on the Builder Experience team, you will craft full-stack features that enable teams to create, configure, and deploy AI agents. You will take ownership of the product interface, ranging from user-friendly no-code configurations to real-time monitoring dashboards and analytical tools.This position is ideal for engineers passionate about creating exceptional product experiences, recognizing that outstanding user experience is critical to making powerful technology approachable. You will collaborate closely with our clients and design teams to launch features that enhance agent development, while acquiring a deep understanding of the underlying systems to create the right abstractions.This is a hybrid position that requires attendance in our Toronto office for two days a week.

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.

About SteelSteel is pioneering open-source browser infrastructure designed for AI agents and applications. We empower developers to seamlessly deploy AI products that interact with the web via our Sessions API.With over 6,000 stars on GitHub, a growing customer base, and millions of sessions hosted each month, we achieved a remarkable 50x growth in 2025 driven solely by word-of-mouth and our vibrant open-source community. Supported by leading investors, we're assembling a compact, highly skilled team dedicated to redefining the way humans engage with the digital landscape.Discover the challenges we address: https://docs.steel.dev/overview/intro-to-steelThe RoleWe are on the lookout for an Applied AI Engineer who will play a critical role in defining how AI agents interact with the web. You will develop frameworks, create demos, and enhance the developer experience, making Steel an essential tool for AI creators.Your work will bridge product development, research, and community engagement. You will conduct experiments to determine effective strategies for browser automation with AI, translating findings into frameworks and engaging content that developers appreciate. Collaborating closely with our founding team, you will help set the development agenda, publish research establishing Steel's authority in browser agents, and create demos and integrations that attract thousands of developers to our platform.This role transcends traditional ML engineering or Developer Relations; it encompasses elements of both. You should be comfortable deploying production code, running experiments, and producing educational content for developers. Our team thrives on hard work and rapid pace, and we expect the same dedication from you. Late nights and weekend commitments are part of our journey toward excellence.Sample Projects Could IncludeDeveloping a TypeScript browser agent framework that seamlessly integrates large language models (LLMs), Steel's infrastructure, and developer tools.Conducting experiments to answer crucial developer questions: Which models excel in browser automation? What prompting strategies yield the best results? Which architectures are most effective?Creating open-source demos and applications that illustrate the capabilities of AI agents within Steel's browser infrastructure.Building integrations with AI frameworks such as LangChain and CrewAI, ensuring Steel's compatibility within the broader ecosystem.

Tali AI is a rapidly expanding startup in Canada dedicated to enhancing healthcare accessibility through artificial intelligence. We are developing a pioneering AI platform designed to streamline clinical workflows by automating data collection, processing, and sharing. This allows healthcare professionals to concentrate on delivering quality care. Our platform is utilized by thousands of clinicians across Canada and the United States, spanning various specialties and seamlessly integrated with the complex landscape of North American health record systems. Our technical vision is to create a comprehensive operating system for clinical workflows, enabling healthcare teams to customize the platform to automate their data management tasks.We tackle genuinely challenging problems:Establishing real-time audio pipelines where latency impacts outcomes and accuracy is critical.Integrating with a diverse ecosystem of clinical software, including health records, billing, scheduling, referral management, and more.Creating reliable AI workflows and agents in a domain where errors can have significant consequences.Implementing a privacy and compliance framework that is robust by design.We operate in a fast-paced market that values rapid innovation, while building and maintaining clinician trust is paramount.

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.

Join the vibrant team at Warner Music Group, where we unite music enthusiasts, tech pioneers, and creative visionaries to transform dreams into reality and audiences into devoted fans. Our work is anchored by three core values: • Curiosity: Our best work emerges from a deep engagement with culture and the courage to challenge the status quo. Curiosity fuels our creativity and innovation, paving the way for our future.• Collaboration: Creating music that resonates with the world thrives on teamwork and originality. We nurture connections among a diverse community of artists, songwriters, partners, and fans.• Commitment: We strive for excellence in our teams and our talent. The music industry is a leap into the unknown, and we are dedicated to integrity and fulfilling our promises.Technology is integral to our operations, whether it’s onboarding new artists, streamlining data for platforms like Spotify and YouTube, or empowering artists with cutting-edge AI tools and analytics. Our engineering team is the driving force behind this innovation.At WMG, we celebrate a rich tapestry of artists, musicians, and songwriters who contribute to our success. We are committed to fostering an inclusive work environment where diverse backgrounds and experiences are valued and respected.Consider a career with WMG and enjoy the perfect blend of a pioneering global music enterprise while preserving the creative essence of an independent spirit.Your Role:As a member of the Sodatone team, you will contribute to an analytics platform that harnesses AI and machine learning to discover and assess emerging musical talent. Utilizing data from streaming services, social media, and various sources, you will assist our A&R teams in identifying rising artists, monitoring industry trends, and making informed decisions related to talent scouting and artist development.

Are you passionate about uniting technology, strategy, and people to create transformative software solutions?If so, Jobber is the ideal place for you! We are on the lookout for a Director of Software Engineering to lead our AI Workflow & Ecosystem teams. If you have a strong commitment to using technology to make a meaningful impact within an organization, we would love to hear from you!At Jobber, our mission is to empower small businesses to thrive. We work alongside local home service providers, such as plumbers, painters, and landscapers, to revolutionize service delivery through our advanced technology solutions. With Jobber, these businesses can easily quote, schedule, invoice, and accept payments, all while delivering a seamless and professional customer experience. The landscape of small business operations has evolved; service delivery and consumer expectations are changing rapidly, and we provide the tools to help our clients manage their businesses with flexibility and control.Our culture, which prioritizes transparency, inclusivity, collaboration, and innovation, has earned us accolades including Great Place to Work and recognition as one of Canada’s Most Admired Corporate Cultures. Jobber has also been featured in the Globe and Mail’s list of Canada’s Top Growing Companies, as well as Deloitte Canada’s Technology Fast 50™, Enterprise Fast 15, and Technology Fast 500™ lists. Guided by an Executive team with over thirty years of industry experience, we have made significant strides since our inception in 2011, and we are just beginning to unlock our potential for our customers.We are committed to the professional growth of our employees, offering a wealth of onboarding resources, tutorials, hackathons, and mentorship opportunities. Our team comprises individuals with varying levels of experience, fostering a rich environment for mentorship and collaboration. At Jobber, our leaders prioritize empathy and support, helping employees maintain a healthy work-life balance. Bring your passion and dedication to this role and realize your goals with us.The Team:At Jobber, we do more than just build products; we solve real challenges that enable small businesses to succeed. Our company values—humility, supportiveness, and genuine care—are not just words; they are deeply embedded in our culture. We thrive in a collaborative environment where teams have the autonomy to make decisions and shape the company’s future. We release products quickly and iteratively while dedicating time to addressing technical debt, ensuring we receive immediate feedback from our customers to enhance their experiences.

About BreeBree is transforming the consumer finance landscape by providing innovative, efficient, and cost-effective financial services to over half the Canadian population living paycheck to paycheck. Operating within a vast yet underrepresented market, we aim to be the most affordable and reliable provider of short-term credit for the 20 million Canadians facing financial challenges.With over 600,000 Canadians already benefiting from Bree's services, we are just beginning our journey. Our company is experiencing rapid growth, achieving product-market fit, and is positioned to become a leading FinTech player in Canada. With annualized revenues in the eight-figure range, we are on a double-digit growth trajectory, maintaining profitability and an impressive employee retention rate. As a proud participant of Y Combinator in 2021, we successfully secured a $2 million seed funding shortly thereafter.About the RoleWe are seeking a talented Backend Software Engineer to lead the architectural development of our serverless infrastructure, utilizing the latest AI development tools. The ideal candidate will possess extensive backend experience, a dedication to creating clean and maintainable systems, and an innovative mindset towards AI-assisted development.What You'll DoArchitect and advance our serverless backend systems with an emphasis on scalability, maintainability, and enhancing the developer experience.Refactor and modernize our existing Lambda-based microservices architecture to implement patterns that optimize AI tool effectiveness.Create and maintain robust data pipelines and payment processing systems across various providers.Promote best practices in AI-native development, establishing patterns and abstractions that foster rapid iteration with tools such as Cursor and Claude Code.Collaborate with infrastructure engineers to refine our AWS-based architecture using Infrastructure as Code.Drive the consolidation and standardization of our data layer across Supabase, Firebase, and legacy systems.What You'll NeedExpert-level proficiency in TypeScript, Node.js, and AWS services.Demonstrated experience with serverless architectures and microservices.Strong understanding of database systems and data modeling.Familiarity with AI development tools and methodologies.Excellent problem-solving skills and a proactive approach to development challenges.