Senior Software Engineer - Infrastructure

About Us:At Cohere, our mission is to amplify intelligence for the benefit of humanity. We are dedicated to training and deploying groundbreaking models that empower developers and enterprises to create extraordinary AI-driven experiences, including content generation, semantic search, retrieval-augmented generation (RAG), and intelligent agents. Our work is…

Company OverviewCommerceIQ’s AI-driven digital commerce platform is transforming how brands operate online. Our integrated ecommerce management solutions empower brands to make swift, informed decisions through insights that enhance the digital shelf, maximize retail media ROI, and drive additional sales across leading global marketplaces. With a network of over 900 retailers, our comprehensive platform assists more than 2,200 top brands in optimizing their marketing, supply chain, and sales operations to effectively expand their market presence in over 50 countries. We proudly serve 10 of the top 12 CPG brands, including Coca-Cola, Nestle, Colgate-Palmolive, and Mondelez. Having raised over $200M from prominent investors such as SoftBank, Insight Partners, and Madrona, we are poised for continued growth. Discover more at commerceiq.ai.The Role:As a Forward Deployed Engineer, you will collaborate closely with our founders and AI Product Managers to design and implement AI-based solutions addressing our clients’ critical challenges. This role is pivotal, offering high visibility as you will report directly to our Head of AI Strategy and Outcomes. You will also engage with key members of the executive leadership team based in Mountain View, work alongside our engineering team in Bangalore, and interact daily with enterprise clients. Your contributions will be essential in defining our engagement with key customers, establishing the company's inaugural forward deployed engineering function, and advancing our mission to assist brands in thriving in AI-driven e-commerce.Location / Travel:This position is on-site in Toronto, Ontario, Canada, with approximately 50% travel expected to client locations. Candidates located in the Toronto area will be prioritized.What You'll Do:Build prototypes with customers: Collaborate with our AI Product Manager to identify real-world challenges, rapidly scope use cases, and develop functional prototypes. Engage in hands-on discovery and transform insights into practical demos for potential and existing clients.Integrate data and create new AI agents: Acquire data from various sources (ERPs, ecommerce platforms, custom APIs) and develop agents tailored to the specific use cases identified during discovery. This involves translating unique business rules into runtime-editable settings instead of static logic.

Banyan Software is dedicated to providing a lasting home for thriving enterprise software companies, their workforce, and their clientele. Our mission revolves around acquiring, developing, and expanding top-tier enterprise software businesses globally, specifically those that hold leading positions in niche vertical markets. Recently, Banyan was recognized as the #1 fastest-growing private software company in the United States by the Inc. 5000 list and ranked among the top 10 fastest-growing companies by the Deloitte Technology Fast 500. Established in 2016, we operate with a permanent capital foundation aimed at safeguarding the legacies of our founders, employing a buy-and-hold strategy for nurturing software companies serving specialized vertical markets.OverviewWe are in search of an outstanding full-stack software engineer to join us as a Forward Deployed Engineer (FDE). In this pivotal role, you will serve as the vital link between our central AI Application Modernization Factory and our application teams. The FDE will be temporarily embedded within delivery teams to spearhead the modernization of essential applications, ensuring technical success, promoting the rapid adoption of AI-assisted software development life cycle (SDLC) practices, and facilitating enduring skill development among team members. This high-stakes, hybrid position demands advanced software engineering acumen, in-depth knowledge of cloud-native architectures, and demonstrated proficiency in consultation, change management, and fostering strong relationships within diverse teams.

Join the innovative Forward Deployed Engineering Team at Warner Music Group's Data and Insights Organization, where we tackle a wide array of business challenges. Our team collaborates closely with the Product Solutions group and key business stakeholders to swiftly develop and deploy cutting-edge automation and solutions utilizing data and artificial intelligence. If you are passionate about engaging with customers to address diverse issues while leveraging world-class data platforms, and possess a solid foundation in software engineering and data principles, this role may be your ideal match. As a Forward Deployed Engineer (FDE), you will engage directly with crucial business stakeholders across various labels and global functions to deliver rapid, impactful solutions powered by data and AI. The ideal candidate excels in collaborating with non-technical customers, possesses strong product instincts, and demonstrates empathy by addressing pain points with AI solutions, transforming laborious tasks into efficient workflows. Your responsibilities will encompass full-stack solution engineering, including data pipelining, backend development in Python, dashboard, and Streamlit app development, as well as utilizing Databricks and Snowflake AI tools like Genie and Cortex. This is a fantastic opportunity to collaborate with a world-class team and utilize best-in-class AI tools to elevate the music industry.

Join Our TeamAt LangChain, we are driven by a vision to make intelligent agents a staple in everyday technology. Our goal is to empower developers to transform their innovative concepts into production-ready AI agents that are reliable and effective. Initially recognized for our open-source tools, we have expanded our offerings to include a comprehensive platform for building, evaluating, deploying, and managing agents at scale.Today, our products, including LangChain, LangGraph, LangSmith, and Agent Builder, are actively utilized by teams creating real AI solutions across a diverse range of organizations, from startups to Fortune 500 companies. Major players such as Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500 trust LangChain to enhance their AI initiatives.With a robust funding of $125M from Series B led by IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we are expanding our product range, accelerating growth, and ensuring that each team member has a significant impact on our trajectory. At LangChain, your contributions will directly influence how this transformative technology is integrated into the world.About the Deployed Engineering TeamThe Deployed Engineering team collaborates closely with organizations to implement and manage AI agents in production environments, translating innovative ideas and prototypes into robust, dependable systems.This team is comprised of highly skilled professionals who engage with customer engineers throughout the entire lifecycle, from pre-sales assessments to post-deployment guidance. Our primary objective is to achieve technical success, co-create agent architectures, and support customers in the reliable operation of agents at scale using the LangChain suite.Deployed Engineers are positioned at the nexus of engineering, product development, and market strategy, influencing the practical adoption of LangChain and integrating real-world insights into our platform.Your Role as a Deployed EngineerAs a Deployed Engineer, you will tackle some of the most challenging issues in applied AI—not just demos or research, but systems that are critical for real teams in production settings. The feedback is swift, the impact is clear, and your efforts will directly shape the development of AI agents in practical applications.

About HeyMiloAt HeyMilo, we are revolutionizing the hiring process with our advanced AI interviewers, designed to streamline and enhance recruitment through engaging conversational AI. We partner closely with businesses to seamlessly integrate AI into their hiring workflows.The RoleWe're seeking a talented deployed solutions engineer to engage in special projects that bridge engineering, product development, and customer requirements. In this role, you will take the lead in applying HeyMilo's solutions across diverse environments and guide projects from conception to execution.What You Will DoCollaborate with customers to grasp their workflows and requirementsDesign and create prototypes that address real-world challengesConvert business needs into actionable technical solutionsEngage with APIs, integration processes, and system architectureWork alongside engineering teams to transform solutions into deployable systemsWhat We Are Looking ForA solid technical foundation with coding capabilitiesExperience in working with large language models (LLMs) and prompt engineeringProficient user of AI tools for rapid development (e.g., Cursor, Claude, Codex)Excellent communication and problem-solving skillsAbility to navigate ambiguity and act swiftlyComfortable functioning under pressure and meeting tight deadlinesBonus Points ForExperience with enterprise-level deployments or integrationsFamiliarity with telephony or voice AI systemsWhy Join Us?Tackle high-impact challenges across various customer projects and productsGain high visibility and ownership over projectsThrive in a fast-paced, execution-focused environmentEnjoy competitive compensation, benefits, and RRSP matching

About the TeamAdaptive ML is an innovative AI startup focused on developing a cutting-edge Reinforcement Learning Operations (RLOps) platform that empowers enterprises to customize and implement large language models (LLMs) in production, yielding measurable results.We deliver essential infrastructure that facilitates the tuning, evaluation, and deployment of specialized models at scale — leading the way in task-specific LLM development and managing production-ready workflows capable of handling millions of requests while optimizing for cost and performance across distributed systems.Our close-knit team has previously contributed to the development of state-of-the-art open-access large language models. In early 2024, we secured a $20M seed round led by Index Ventures and ICONIQ, and we are already operational with clients including Manulife, AT&T, and Deloitte, spanning across travel and financial services — with more partnerships to be announced soon.At Adaptive ML, our Success Team is an integral part of our Technical Staff. The Technical Staff is responsible for developing the foundational technology that drives Adaptive ML, while the Success Team ensures our enterprise clients fully utilize these technologies — particularly through our Adaptive Engine product — to extract maximum value.About the RoleAs a Forward Deployed AI Engineer at Adaptive ML, you will assist our customers in creating scalable production applications utilizing the Adaptive Engine. Our clientele ranges from dynamic scale-ups to established global enterprises, and your mission will be to guide them in maximizing business value while expediting the production timeline. We emphasize bridging the gap from proof-of-concept to production, as numerous generative AI initiatives fall short in delivering clear ROI.By harnessing advanced reinforcement learning technologies, you will aid in the customization of large language models for production readiness. Your responsibilities will include constructing synthetic data pipelines to launch models into production and identifying useful signals for ongoing model refinement utilizing real-world feedback. We seek self-motivated, business-savvy, and driven individuals eager to support the deployment of a highly technical product. As this is an early-stage role, you will have the opportunity to influence our research initiatives and product development as we expand.This is an in-person role located at our Toronto or New York office.

Who are we?At Cohere, we are dedicated to advancing intelligence to benefit humanity. Our mission involves training and deploying state-of-the-art AI models for developers and enterprises, enabling them to create remarkable experiences such as content generation, semantic search, retrieval-augmented generation (RAG), and intelligent agents. We believe that our contributions are pivotal in promoting the widespread adoption of AI technology.We take immense pride in our work. Every team member plays a crucial role in enhancing our models’ capabilities and the value they deliver to our clients. We thrive on hard work and rapid innovation to meet our customers' needs effectively.Cohere is composed of a diverse team of researchers, engineers, designers, and industry experts, all passionate about their craft. We value a wide range of perspectives as essential to developing exceptional products.Join us in our mission to shape the future of AI!Why This Role?This position offers a unique chance to influence how enterprises securely utilize AI technologies in mission-critical settings. As a conduit between our North platform and enterprise engineering teams, you will lead a talented group of engineers to deliver pioneering, scalable AI solutions to clients in key industries such as finance, healthcare, and telecommunications. Our esteemed clientele includes industry giants like RBC, Dell, and LG CNS.Key Responsibilities:Prompt Optimization: Analyze, refine, and iterate prompts for Cohere’s Command model to boost performance across various customer agents and applications.Tool Development & Evaluation: Collaborate closely with clients to enhance custom tools and conduct thorough evaluations to ensure they meet specific objectives.Core Agent Development: Influence the design and development of core agents for out-of-the-box (OOTB) deployment on Cohere’s North platform, fostering innovation in agent functionality.Customer-Centric Solutions: Gain a deep understanding of customer business requirements and develop tailored agents that deliver measurable operational enhancements.Metric-Driven Collaboration: Work directly with customers to establish and monitor key performance metrics, ensuring agents achieve and surpass their targets in quality, efficiency, and accuracy.Ideal Candidate Profile:Demonstrated experience in AI model optimization and deployment.Strong problem-solving skills with a focus on customer outcomes.Excellent communication and collaboration abilities.Previous experience in enterprise technology solutions is a plus.

About UsAt Cohere, our mission is to harness the power of intelligence for the benefit of humanity. We specialize in training and deploying pioneering models that empower developers and enterprises to create transformative AI solutions. From content generation to advanced semantic search, we are at the forefront of AI innovation, driving its widespread adoption.We take immense pride in our work and believe that every team member plays a crucial role in enhancing our models and delivering exceptional value to our clients. Our culture encourages hard work, agility, and a relentless focus on customer satisfaction.Cohere is composed of leading researchers, engineers, designers, and more, all dedicated to their craft. We value diverse perspectives, knowing they are essential for creating outstanding products.Join us in shaping the future of AI!Why Join Our Team?Our internal infrastructure team is pivotal in constructing top-tier infrastructure and tools that facilitate the training, evaluation, and deployment of Cohere's foundational models. As part of our team, you’ll collaborate closely with AI researchers to meet their cutting-edge workload requirements, emphasizing stability, scalability, and observability. Your role will involve building and managing Kubernetes GPU superclusters across multiple cloud environments, directly supporting the development of industry-leading AI models that empower Cohere's platform.We are looking for software engineers at various career stages. Whether you are just starting your professional journey or are an experienced staff engineer, you will find ample opportunities for growth and impact here.Note: All infrastructure roles require participation in a 24/7 on-call rotation, and you will be compensated for your on-call duties.Your Responsibilities as a Software Engineer:Design and manage Kubernetes compute superclusters across diverse cloud platforms.Collaborate with cloud service providers to optimize infrastructure costs, performance, and reliability for AI workloads.Work in tandem with research teams to assess their infrastructure needs and discover enhancements for stability, performance, and efficiency in novel model training techniques.Create and implement resilient, scalable systems for training AI models, with a focus on developing user-friendly interfaces that empower researchers to manage their workflows independently.

Join Opendoor as an Infrastructure Engineer and be at the forefront of revolutionizing the real estate industry through technology. You will collaborate with cross-functional teams to design, implement, and maintain scalable infrastructure solutions that enhance our platform's reliability and performance.

About the Role Momentum Financial Services Group is looking for a Senior Infrastructure Engineer in Toronto. This position focuses on designing, implementing, and maintaining infrastructure solutions that support the company’s goals. The role calls for hands-on work with systems and close collaboration with teams across the organization. What You Will Do Design and implement infrastructure solutions to meet business needs Maintain and improve system performance and security Partner with cross-functional teams to support ongoing projects Lead efforts to enhance infrastructure capabilities Location This role is based in Toronto, Canada.

Join our innovative team at mlabs as a Senior Infrastructure Engineer, where you will play a crucial role in designing, implementing, and managing our cloud infrastructure. You will work collaboratively with other engineers to ensure high availability and performance, leveraging cutting-edge technologies to drive our projects forward.

Bree serves Canadians who live paycheck to paycheck, focusing on those who need short-term credit solutions. With over 800,000 users, Bree has established a strong presence in the FinTech sector. The company maintains profitability, generates eight-figure annual revenue, and continues to see double-digit monthly growth. Bree has experienced zero voluntary employee turnover. After joining Y Combinator in 2021, Bree raised a $2 million seed round. Role overview The Software Engineer, Infrastructure will work to strengthen the reliability, scalability, and maintainability of Bree's data-driven systems. This position focuses on supporting a growing user base by improving system performance and stability. What you will do Design, build, and maintain infrastructure to support Bree's data systems. Refactor code and improve system architecture to reduce technical debt. Optimize PostgreSQL databases through query tuning, indexing, and capacity planning. Implement Infrastructure as Code using tools such as Pulumi, Terraform, or AWS CloudFormation. Set up monitoring and alerting with tools like Grafana or Datadog. Enhance system observability by improving metrics, logging, and tracing. Requirements Bachelor's degree in Computer Science or a related discipline. Experience building scalable, reliable, and maintainable infrastructure. Strong knowledge of PostgreSQL and hands-on database optimization skills. Familiarity with Infrastructure as Code concepts and tools. Experience with monitoring tools and practices. Location This position is based in Toronto.

Role overview Veeva Systems is hiring a Senior Software Engineer focused on infrastructure in Toronto, Canada. This role centers on designing and building software that supports and improves our cloud-based platforms. The work directly impacts scalability and performance across our systems. What you will do Design and implement software solutions for infrastructure needs Work closely with teams from different disciplines to strengthen our cloud platforms Contribute to projects that improve system scalability and performance

As the Manager of Data Infrastructure at mqreferrals, you will be pivotal in shaping our data engineering landscape, directly reporting to the Director of Data Engineering. In this dynamic leadership role, you will oversee a dedicated team of 5-6 engineers tasked with managing critical data platforms that underpin our AI and analytics initiatives. This hands-on position blends technical expertise with effective people management, where you will mentor your team, facilitate agile delivery processes, and integrate product-oriented thinking into our infrastructure approach. Your leadership will be crucial in executing our data strategy and ensuring the operational excellence of platforms that handle billions of transactions each month.We embrace a Flexible First work culture, allowing this role to be performed remotely from anywhere in Ontario and British Columbia, Canada, with quarterly travel to the United States required. Join us on this exciting journey!

Join Tenstorrent as an Infrastructure Automation Engineer and be a key player in revolutionizing the way we manage and automate infrastructure. In this role, you will design, implement, and maintain automation solutions that drive efficiencies across our systems and enhance our operational capabilities.

Join Waabi as a Software Engineer focused on Evaluation Infrastructure, where you will play a pivotal role in advancing our cutting-edge autonomous technology. You will work collaboratively with cross-functional teams to design, implement, and optimize our evaluation systems, ensuring robust performance and reliability.Your contributions will help shape the future of transportation technology, making it safer and more efficient.

Lyft is looking for a Software Engineer focused on Advertising Infrastructure to help build and improve the systems behind its advertising platform. This position is based in Toronto, Canada. Role overview This role centers on designing, developing, and scaling advertising systems. The work aims to keep these systems efficient and reliable as Lyft’s advertising needs grow. Collaboration Work closely with teams from different disciplines to deliver solutions that strengthen Lyft’s advertising technology and support business objectives. Impact Your contributions will help expand Lyft’s advertising capabilities and support the company’s growth in this area.

As the Manager of Data Infrastructure, you will report directly to the Director of Data Engineering and spearhead a team of 5-6 engineers responsible for operating essential data platforms that fuel our AI and analytics initiatives. This newly established, hands-on leadership position blends technical expertise with personnel management, requiring you to mentor your team, promote agile methodologies, and incorporate product-focused thinking into infrastructure management. You will implement our data strategy while ensuring operational excellence across platforms that handle billions of transactions monthly. We embrace a Flexible First work model, allowing this role to be performed remotely within the provinces of Ontario and British Columbia. Quarterly travel to the United States will be necessary. We are excited for you to potentially join our team!