AI/ML Architect

Grafana Labs stands as a beacon of innovation in the realm of open-source software, proudly boasting over 20 million users globally. Our flagship product, the Grafana visualization tool, empowers individuals and organizations to monitor a diverse array of systems, from ecological phenomena to advanced technological infrastructures. Our visually striking dashboards have gained recognition in prestigious venues such as NASA, Minecraft HQ, Wimbledon, and the Tour de France. We proudly serve over 3,000 organizations, including industry giants like Bloomberg, JPMorgan Chase, and eBay, in managing their observability strategies through our Grafana LGTM Stack, which can be utilized either fully managed through Grafana Cloud or self-managed with the Grafana Enterprise Stack, both incorporating scalable metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo).As we scale rapidly, we remain committed to our core values: a legacy of open-source development, a culture that fosters global collaboration, and a dedication to impactful work. Our team flourishes in an environment driven by transparency, autonomy, and trust.If you find this role intriguing despite not meeting every qualification, we encourage you to apply and explore what could be a career-defining opportunity.This is a remote position, and we are currently considering applicants from Canada time zones only.

Join Grafana Labs, a leading remote-first, open-source innovator with over 20 million users worldwide leveraging our visualization tool to monitor everything from beehives to climate change. Our distinctive dashboards have been showcased at major events, from NASA launches to the Tour de France. Serving over 3,000 companies, including Bloomberg, JPMorgan Chase, and eBay, we empower them to manage observability strategies through the Grafana LGTM Stack, which can be fully managed via Grafana Cloud or self-managed using the Grafana Enterprise Stack, both featuring scalable metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo).As we rapidly scale, we remain committed to our core values: an open-source legacy, a collaborative global culture, and a passion for impactful work. Our team flourishes in an innovation-driven environment where transparency, autonomy, and trust are paramount.If you're excited about this role, don't hesitate to apply even if you don't meet every requirement—this could be a transformative step in your career.This position is remote, and we are currently considering applicants from Canada time zones only.Staff AI EngineerThe Opportunity:At Grafana, we develop observability tools that enable users to understand, respond to, and enhance their systems, irrespective of scale or complexity. The Grafana AI teams are integral to this mission, utilizing AI-driven features to help users interpret complex observability data. These capabilities minimize toil, lower the domain expertise barrier, and highlight significant signals in noisy environments.What sets our team apart is our unique approach: we emphasize autonomy and ownership at both individual and team levels. Engineers are encouraged to make decisions, rapidly prototype, and validate ideas early, all within a highly collaborative culture that values curiosity, constructive feedback, and cross-functional collaboration.We seek an AI Software Engineer with a robust software engineering background, a mindset geared towards quick iterations, and a passion for experimentation. This should be complemented by a focus on delivering and scaling impactful features that bring real value to our users.

Join Grafana Labs, a leader in open-source innovation with over 20 million global users utilizing our visualization tools to monitor diverse phenomena, from beehives to the climate. Our dashboards are proudly displayed at prestigious events like NASA launches, Minecraft HQ, Wimbledon, and the Tour de France. We empower over 3,000 businesses, including major players like Bloomberg, JPMorgan Chase, and eBay, to optimize their observability strategies through the Grafana LGTM Stack. This can be utilized via Grafana Cloud or self-managed with the Grafana Enterprise Stack, featuring scalable metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo).As a rapidly growing, remote-first company, we are committed to fostering an open-source legacy and a collaborative global culture. Our team thrives in an innovative environment where transparency, autonomy, and trust are paramount.If this position excites you, we encourage you to apply even if you don’t meet every requirement. This could be a career-defining opportunity.This position is exclusively remote, and we welcome applications from candidates residing in Canada, excluding Quebec.The OpportunityWe are looking for a Staff GTM Engineer (AI & Automation) to lead the development of our next-generation AI agents and workflow systems. You will primarily focus on coding—designing multi-agent architectures, integrating LLM APIs, constructing data pipelines, and creating automation that operates around the clock across Marketing, RevOps, and SDR teams. This role is ideal for a builder enthusiastic about the intersection of AI, automation, and business growth.Your responsibilities will include executing the AI growth roadmap and developing internal capabilities and integrations to enhance marketing and operational workflows across teams. You'll implement multi-agent systems that yield results across Marketing, RevOps, and SDR teams. With your strong technical skills and focus on execution, you'll deliver AI-driven solutions that transform business challenges into automated systems, driving measurable ROI, accelerating growth, and enhancing team effectiveness.This hands-on role involves 60-70% coding and systems development, with 30-40% dedicated to operational enablement (requirements gathering, documentation, training, etc.).

BPM is a company where compassion and community are woven into our DNA. We are committed to continuously improving ourselves and fostering innovation through inquiry. Joining BPM means leveraging your unique experiences, expanding your skill set, and achieving your fullest potential in both your professional and personal life while positively impacting clients, colleagues, and the community. Our entrepreneurial spirit encourages us to innovate and approach challenges from fresh perspectives. At BPM, we value people, ensuring everyone feels appreciated and part of a larger mission. Because People Matter.BPM actively welcomes applications from individuals with disabilities. Accommodations are readily available upon request for candidates participating in all aspects of the selection process. What We Offer:Comprehensive rewards package: Enjoy flexible work arrangements and competitive benefits that prioritize your health and well-being, including coverage for dependents.Well-being initiatives: Access an interactive wellness platform, employee assistance programs, mental health resources, and Colleague Resource Groups (CRGs) that create safe environments for colleagues to connect, share, and feel valued.Work-life balance and flexibility: Benefit from at least 14 Firm Holidays, including relevant provincial statutory holidays and 2 floating days, Flex PTO, supplemental top-up for eligible statutory leaves, a winter break, summer hours, and remote working options, allowing you to challenge yourself while taking care of your well-being.Professional growth opportunities: Experience a culture of learning with CPA exam resources and bonuses, support for professional memberships/certifications, a coaching program, and live classes, workshops, and seminars through BPM University. Who Thrives at BPM:· Caring individuals who prioritize the needs of others.· Self-motivated professionals who embody the entrepreneurial spirit of BPM.· Authentic voices with diverse perspectives.· Lifelong learners driven to achieve excellence.· Resilient individuals who meet challenges head-on.Position Overview:We are looking for an AI/ML Engineer to join BPM’s Enterprise Technology Solutions team. This role is ideal for a builder—someone who is not only experimenting with AI but is also instrumental in implementing it effectively within the firm at scale. You will harness AI tools...

Join Xsolla as a Lead AI/ML Engineer where you will be pivotal in architecting and enhancing our data infrastructure for personalization, churn prediction, and recommendation systems across our global gaming commerce platform. You will spearhead the design and optimization of machine learning algorithms using Vertex AI, create scalable data pipelines from diverse sources, and implement best practices for data quality, governance, and performance. This role merges hands-on technical leadership with collaborative cross-functional efforts, mentoring engineers, and partnering closely with data science and backend teams to deploy ML features. Reporting directly to the Director of Data Platforms, you will translate business requirements into innovative technical solutions, significantly shaping our data mesh architecture while ensuring compliance, scalability, and operational excellence as we support game developers globally.

At Grafana Labs, we are a remote-first, open-source leader, empowering over 20 million users globally with our renowned Grafana visualization tool. Our dashboards are deployed in diverse environments, from NASA launches to the Tour de France, and we assist more than 3,000 organizations, including industry giants like Bloomberg and JPMorgan Chase, in optimizing their observability strategies through our Grafana LGTM Stack.As we expand rapidly, we remain committed to our core values: a robust open-source foundation, a collaborative global culture, and a drive for impactful work. Our team excels in an innovative atmosphere where transparency, autonomy, and trust are paramount.If you find this role intriguing, we encourage you to apply, even if you don't meet all the criteria. This could be a pivotal opportunity in your career.This is a remote opportunity for candidates in Canada time zones only.Position Overview: Senior Software Engineer - AI and AutomationOpportunity: We are seeking a talented Senior Software Engineer to join our Revenue Operations team. Your focus will be on developing AI-driven internal tools and automated workflows tailored for our Go-To-Market (GTM) teams. You will be responsible for the technical infrastructure that enables automation across Sales, Customer Success, and Marketing.You will architect systems that empower every member of the GTM team. As a systems builder and problem solver, you will identify operational bottlenecks, design automated solutions utilizing LLM APIs and orchestration frameworks, and deliver tools that enhance productivity. Your contributions will directly influence the scalability of Grafana's GTM organization. Collaborating closely with Data Engineering, GTM Systems, Field Operations, and GTM leadership, you'll create scalable, self-service automation that minimizes manual tasks and enhances intelligence.

Senior AI/ML EngineerLocation: Ottawa, ON | Hybrid Department: EngineeringReports To: Eugenia Kondratova, Senior Technical Manager, AIType: Full-Time | PermanentVacancy Status: This is an active role and we are currently hiring for this position.About SolinkAt Solink, we are dedicated to protecting what matters most. Our mission is to empower businesses with real-time operational insights by transforming video security. Our innovative cloud-based platform seamlessly integrates with existing camera systems, turning them into intelligent sensors that detect and interpret critical moments. This enables teams to make informed, data-driven decisions, thereby enhancing security and operational efficiency.With over 30,000 locations in more than 32 countries, including well-known brands such as McDonald's and JYSK, Solink provides clarity when it is most needed. Our solutions assist businesses in minimizing shrinkage, optimizing their operations, and proactively addressing emerging threats.We are experiencing rapid growth and have received accolades from Deloitte’s Fast 50™ and Fast 500™ and recognition as one of Ottawa’s Best Places to Work. We are just getting started!The RoleAs a Senior AI/ML Engineer at Solink, you will be responsible for designing, building, and deploying comprehensive machine learning solutions that drive our next generation of video analytics and operational intelligence. Your work will span research, model development, software engineering, and production integration, where you will own features that deliver significant value to our customers in both cloud and edge environments.This position is perfect for individuals who excel in fast-paced environments, relish tackling complex technical challenges, and are driven by the opportunity to deliver reliable, scalable ML-powered features used in high-demand, real-world applications.What You’ll DoDesign, develop, train, and deploy ML models—including computer vision, LLMs/VLMs, and multimodal models—across cloud and edge/embedded environments.Own ML-driven features end-to-end: from proof of concept and experimentation to integration, deployment, instrumentation, and continuous improvement.Evaluate and integrate third-party AI/LLM/VLM services, balancing cost, performance, and scalability.

Please submit your CV in English and include your English proficiency level. This freelance, project-based role focuses on evaluating AI coding agents for Mindrift, in partnership with toloka-ai. The position is open to remote candidates based in Manitoba, Canada. It is not a permanent job, but rather a contract opportunity for skilled professionals interested in shaping how AI systems perform in real-world software development scenarios. Role overview The main responsibility is to help build a dataset that tests AI coding agents in situations modeled after authentic developer workflows. This involves designing complex tasks, setting up evaluation standards, and working within simulated environments that closely resemble actual software development settings. Key responsibilities Construct virtual companies using high-level plans, including realistic codebases, infrastructure, and supporting context such as documentation, conversations, and tickets to create a believable development history. Design and calibrate tasks from different stages of the virtual company, developing prompts and evaluation criteria to ensure tasks are solvable and fairly assessed. Create tasks within isolated environments that simulate a developer's workstation, featuring a Linux system, development tools (terminal, CLI), MCP servers (repository, task tracker, messenger, documentation), and a real web application codebase. Develop tests that accurately distinguish between correct and incorrect solutions, avoiding both overly strict and overly lenient standards. Collaborate with AI agents to verify that tests identify genuine issues, do not miss flawed solutions, and do not fail on valid ones. Review code generated by AI agents, analyze solution outcomes, and design edge cases and adversarial scenarios to strengthen evaluation. Incorporate feedback from expert QA reviewers who assess your work against established quality benchmarks. What this role does not include Data labeling Prompt engineering Writing code from scratch (the AI agent generates most code; your focus is on guidance and evaluation) This position involves frequent collaboration with advanced AI systems. Creating challenging tasks for modern models means staying close to the latest developments in AI technology.

Join SurveyMonkey, the leading platform for surveys and forms, designed for businesses and cherished by users. Our innovative technology merges intuitive design with robust functionalities, catering to diverse applications from customer satisfaction assessments to employee feedback, market analysis, and event registrations. With integrated research expertise and AI-enhanced capabilities, it’s like having a team of expert analysts at your disposal.Renowned for our reliability, SurveyMonkey empowers millions—from startups to Fortune 500 companies—to harness insights that fuel informed decision-making, foster engaging experiences, and propel business success. Explore more at surveymonkey.com.What We Are Looking ForSurveyMonkey is transforming the way insights are gathered by integrating AI into the survey process. This pivotal role will significantly impact building the platform and product features that facilitate AI-driven functionalities. Your leadership will directly shape user interactions with our product and open up new avenues for organizations to collect and utilize feedback. In this position, you will report to the Senior Director of Product Management and collaborate closely with engineering, AI/ML, design, and data science teams to realize this vision.Key ResponsibilitiesCollaborate with product leadership to define AI and agentic features that enhance the product.Take ownership of the roadmap for essential components of the AI platform, including orchestration layers, tool/action frameworks, context management, and evaluation pipelines.Work in tandem with AI/ML, platform engineering, design, and data science teams to deliver scalable solutions that incorporate LLMs, internal APIs, and product workflows.Establish evaluation frameworks and success metrics for AI and agentic functionalities.Define guidelines, reliability standards, and secure execution methods to ensure AI operates predictably within the SurveyMonkey environment.Facilitate alignment across engineering, design, data, GTM, and leadership to launch innovative AI capabilities at scale.We Are Excited to Hear From Candidates Who Have5+ years of product management experience in developing and launching SaaS products.2+ years of experience in launching AI-driven products, particularly those involving generative AI and conversational interfaces.3+ years of defining ML platform capabilities, including model development, integration, evaluation, and deployment.

At PointClickCare, our mission is straightforward: to empower healthcare providers in delivering outstanding care. This endeavor begins with our exceptional team. As a premier health technology firm, led by its founder and privately owned, we encourage our employees to challenge norms, innovate, and influence the future of healthcare.With the most extensive long-term and post-acute care dataset and a marketplace of over 400 integrated partners, our platform supports more than 30,000 provider organizations, positively impacting millions of lives. A significant portion of our revenue is reinvested in research and development, equipping our team with the necessary resources to innovate and create lasting change. Recognized by Forbes as a leading private cloud company and celebrated as one of Canada's Most Admired Corporate Cultures, we provide flexibility, opportunities for growth, and meaningful work.At PointClickCare, we enable our team members to be the designers of a smarter healthcare future—one that prioritizes human experiences and is enhanced by AI to foster meaningful and enduring change. Our employees leverage AI as a driving force for creativity, productivity, and informed decision-making. By seamlessly integrating AI tools into our workflows, collaboration is enriched, outcomes are enhanced, and every team member is empowered to maximize their impact. This commitment begins with our hiring process, where we seek AI expertise that aligns with our mission, and continues through our investment in ongoing training and development to foster innovation at every stage of the employee journey.Join us in transforming healthcare to ensure it not only survives but thrives. To learn more about life at PointClickCare, visit Life at PointClickCare and connect with us on Glassdoor and LinkedIn.

About the RoleWe are seeking two highly skilled backend engineers to become integral members of our dynamic team in Montreal and Berlin. In this role, you will be instrumental in enhancing our technological capabilities by significantly improving our core backend functionalities, thereby enabling other teams to efficiently utilize this backend.If you are enthusiastic about creating exceptional products, thrive in a fast-paced environment, and are eager to contribute to the growth of an ambitious startup, then this opportunity is tailor-made for you.Our Technology Stack:Python / FastAPIPostgreSQL / MongoDB / ElasticCloud LLM providers + bare metal GPUsGoogle Cloud Platform (GCP)Joining us as an early team member means assuming significant responsibilities from the outset, with the chance to influence our foundational technological stack and infrastructure.As part of one of the most forward-thinking AI companies today, you will collaborate with a talented team of colleagues who are leaders in their respective domains, creating an incredibly stimulating work environment. Your ResponsibilitiesOwn the delivery of complex projects, collaborating with cross-functional teams to ensure the timely completion of mission-critical components.Gain a comprehensive understanding of Reliant's overarching vision and incorporate this into your architectural and process decisions.Provide insightful feedback to refine UI/UX concepts and assist in planning backend and infrastructure enhancements.Take proactive steps to maintain long-term code quality and architectural integrity. QualificationsWe are looking for a candidate with a proven track record in backend or full-stack development, with a focus on rapid innovation and effective systems design to facilitate scalability for both opportunities and team growth.You will excel in this position if you possess the following skills and experiences:5+ years of demonstrable experience in building backend services or distributed systems.Experience in designing, building, testing, and maintaining backend services and APIs that support product features, including the ability to write robust, production-quality code.Engage in system and service design; contribute to architectural discussions and make informed decisions regarding scalability, latency, cost, and reliability.Ability to navigate ambiguity and translate high-level requirements into actionable implementation plans.Collaborate with cross-functional partners including product management, frontend, UX, data, and operations to define requirements, plan implementations, and deliver features.Ensure code quality through writing, reviewing, and enhancing unit/integration tests.

At Grafana Labs, we pride ourselves on being a remote-first, open-source leader, boasting over 20 million global users of our visualization tool. Our innovative dashboards are utilized in various prestigious settings, including NASA launches, Minecraft HQ, and major sporting events like Wimbledon and the Tour de France. We empower over 3,000 businesses, including industry giants like Bloomberg, JPMorgan Chase, and eBay, to refine their observability strategies with solutions like the Grafana LGTM Stack, which is available as a fully managed service via Grafana Cloud or as a self-managed option with Grafana Enterprise Stack, both featuring scalable metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo).We are rapidly expanding while staying true to our core values: an open-source legacy, a collaborative global culture, and a commitment to impactful work. Our team flourishes in an innovation-centered environment where transparency, autonomy, and trust are paramount.If this opportunity excites you, even if you don't meet every requirement, we encourage you to apply. This could be a defining moment in your career.This role is fully remote, and we are seeking candidates from Canada. Please note that residents of Quebec are not eligible for this position.About the RoleGrafana Labs is on the lookout for a Senior AI Engineer, People Technology to spearhead the development of cutting-edge AI systems that will enhance our global workforce and People programs. You will be an integral part of the People Technology team, collaborating closely with People Operations, Talent Acquisition, Enablement, Finance, and Go-to-Market teams to create intelligent workflows and data products that streamline our hiring, development, and support processes for Grafanistas around the world.We believe that AI should provide real value. Our approach focuses on solving genuine problems and crafting practical tools that enable teams to work more effectively. As the inaugural AI Engineer for our People Team, you will design and implement AI-driven solutions that derive insights from our People data ecosystem, including BigQuery, Workday, Greenhouse, Docebo, Tangelo, and Salesforce. Your contributions will be pivotal in developing scalable solutions that enhance our operations and support our team members.

Join Our Innovative TeamAdaptive ML is at the forefront of AI technology, crafting a state-of-the-art Reinforcement Learning Operations (RLOps) platform. Our mission is to empower enterprises to specialize and deploy large language models (LLMs) in production to achieve significant outcomes.We are the backbone for tuning, evaluating, and serving specialized models at scale, revolutionizing task-specific LLM development. Our infrastructure supports production-ready workflows that handle millions of requests efficiently while optimizing for performance and cost across distributed systems.Our cohesive team has previously contributed to the development of leading open-access large language models. Having secured a $20M seed funding from Index Ventures and ICONIQ in early 2024, we are already operational, serving clients such as Manulife, AT&T, and Deloitte in the travel and financial sectors, with more partnerships on the horizon.The Product Staff at Adaptive ML is dedicated to translating our advanced technology into exceptional products that address the challenges faced by companies in their generative AI deployments. We are committed to creating a high-quality, user-friendly, and resilient experience for our clients.Your RoleAs a DevOps Engineer within our Product Staff, you will play a crucial role in packaging our technology into exceptional products that enhance generative AI experiences through deeper personalization via reinforcement learning. It is essential that our technology remains transparent, addressing the real challenges faced by companies without imposing additional complexities.Your responsibilities will encompass all DevOps aspects, from systematic deployment to scaling production databases and supporting internal workloads. Expect to tackle challenges like coordinating complex GPU infrastructure and managing the storage of user interactions, which can reach trillions of records, all while ensuring robustness.We seek passionate individuals who are self-motivated and eager to contribute to a highly technical product that emphasizes robustness, accessibility, and responsiveness. Being an early member of our team means you'll have the opportunity to significantly influence our product as we expand.This position is ideally in-person at our offices in New York or Toronto, but we are also open to fully remote candidates.

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.

ShyftLabs delivers data-driven digital products for Fortune 500 clients, working across industries to create measurable business results. Since 2020, the company has grown teams in Canada, the U.S., and India, and values people who turn ambitious ideas into practical solutions. Role overview The Senior AI Engineer position is based in Toronto and focuses on building and deploying AI-powered features in production environments. This is a hands-on engineering role, working closely with Product, Architecture, and other engineering teams to deliver intelligent capabilities for ShyftLabs’ data-centric platforms. The role also involves contributing to the backend infrastructure that supports these products, with an emphasis on scalability and reliability. What you will do Design, build, and deploy AI and machine learning features directly into production systems Work with cross-functional teams to integrate intelligent functionality into new platforms Help develop backend platforms, focusing on scalability and resilience Requirements Significant experience in AI or machine learning engineering Strong skills in backend development Experience with fine-tuning large language model integrations Ability to design resilient APIs or event-driven services

About this OpportunityJoin a global leader in networking that is transforming how businesses manage their networks. Our AI Core group is at the forefront, developing pioneering platforms across various domains such as Generative AI, AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and fine-tuning large language models. Here, innovation is not just welcomed; it is a core expectation.The RoleAs a pivotal AI ML Engineer, you will take on a leadership role in shaping our machine learning strategy. You'll be responsible for creating intelligent, high-performance multi-agent systems that can perceive, learn, and act in real-time.Key ResponsibilitiesDefine and lead the technical vision for machine learning solutions across our product portfolio.Manage the complete software development lifecycle, overseeing everything from design and code reviews to deployment and operational management.Architect robust, scalable microservices, including both synchronous and asynchronous web services.Develop real-time inference pipelines for complex models leveraging tools like Triton, TensorRT, and mixed-precision computing.Mentor fellow engineers, establish technical direction, and cultivate a strong team culture.Promote engineering excellence, system resilience, and continuous improvement in operations.

Join Our Team as a Senior AI Engineer Be a part of Narvar's innovative journey as we develop Navi, an intelligent AI system that streamlines post-purchase resolution for top retailers worldwide. Each year, millions of consumers engage with Narvar. Navi, our cutting-edge AI, tackles delivery issues, manages returns, and handles refunds using natural language processing, driven by IRIS and an extensive dataset of 74 billion consumer interactions. We are seeking experienced AI engineers who are ready to take ownership of this complex system—from architecture and model selection to production operations. You will play a crucial role in shaping the direction of our projects. Your Responsibilities Design and implement conversational AI agents for returns, claims, and customer service interactions. Oversee the entire lifecycle of agent systems from architecture to implementation, evaluation, and production operations. Develop retrieval pipelines for context graphs that enhance agent responses with real company and customer data. Design orchestration for multi-step workflows that engage with identity, risk, order, and loyalty systems. Create frameworks for evaluating task completion, accuracy, safety, and user satisfaction. Establish guardrails and safety measures, including content moderation, hallucination detection, and graceful fallbacks. Integrate conversational experiences across web, mobile, SMS, and email platforms. Make informed decisions about prompt design, model selection, and trade-offs regarding latency, cost, and quality. Collaborate effectively with product, design, and ML teams to develop technically sound and user-centric systems. Qualifications We Seek We value judgment and ownership over formal qualifications. You may be a great fit if you: Have deployed conversational AI or agent-based systems that are actively used by real users. Have constructed production systems leveraging LLM APIs and agent frameworks, focusing on reliable integrations rather than mere prompt experimentation. Possess insights into model selection trade-offs, including when to utilize frontier APIs versus open-weight models (e.g., Qwen, Llama, Mistral), understanding the implications for cost, latency, privacy, and capabilities. Understand advanced prompt engineering techniques, including structured outputs, few-shot learning, and tool invocation. Have experience in building context graph pipelines that extend beyond basic retrieval methods.

About SecurityScorecard:SecurityScorecard stands at the forefront of cybersecurity ratings, continuously evaluating over 12 million companies across 64 countries. Established in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh, and backed by prestigious investors, our patented rating technology empowers more than 25,000 organizations in self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting. Our mission is to enhance organizational resilience by enabling effortless identification and remediation of cybersecurity risks across digital landscapes.Headquartered in New York City, we take pride in our vibrant culture, recognized by Inc Magazine as a "Best Workplace" and Crain’s NY as one of the "Best Places to Work in NYC." Additionally, we have been named one of the 10 hottest SaaS startups in New York for two consecutive years and featured in Fast Company’s list of the World’s Most Innovative Companies for 2023. We are also honored to be among the Achievers 50 Most Engaged Workplaces in 2023, celebrating our commitment to employee engagement. SecurityScorecard is proudly funded by leading investors, including Silver Lake Waterman, Moody’s, Sequoia Capital, GV, and Riverwood Capital.About the Role:We are in search of a hands-on Senior AI Engineer who is adept at delivering results. This role involves designing and implementing the architecture of agentic workflows while also conducting code reviews for production systems. You will be at the nexus of large language models (LLMs), distributed systems, and real-world customer challenges, transforming cutting-edge AI capabilities into indispensable features for security teams.

About Our TeamAdaptive ML is an innovative AI startup specializing in the development of a Reinforcement Learning Operations (RLOps) platform designed to empower enterprises to tailor large language models for their specific needs, ensuring reliable deployment into production workflows with quantifiable results.Our Success team plays a pivotal role within our Technical Staff. While the Technical Staff focuses on developing the core technology that drives Adaptive ML, the Success team is dedicated to helping our enterprise clients maximize the value of these technologies, particularly through our Adaptive Engine product. Adaptive Engine enables businesses to construct, evaluate, and deploy the most effective models tailored to their unique requirements. Our founding team has previously collaborated on creating state-of-the-art open large language models. Following a successful $20M seed funding round led by Index Ventures and ICONIQ in early 2024, we are actively working with our first enterprise customers, including Manulife, AT&T, Deloitte, and more to be announced soon.About the RoleAs an AI Engineer (Pre-Sales) at Adaptive ML, you will serve as the technical liaison for our sales team, assisting potential clients in understanding how the Adaptive Engine can address their most challenging issues. Your role will involve crafting and presenting impactful demonstrations, guiding customers through proof of concepts, and creating technical proposals that underscore the unique advantages of our platform and reinforcement learning capabilities.This role is distinctly technical, offering you the chance to engage hands-on with the Adaptive Engine—developing demos, fine-tuning large language models, and initiating pilots that transition prospects into clients. Additionally, you will contribute to shaping the product roadmap by identifying and articulating customer needs and insights.Please note: This is an in-person position based in our Toronto or New York offices.Your ResponsibilitiesCollaborate with the sales team to engage prospects, identifying business challenges and aligning them with Adaptive ML solutions.Design and present engaging technical demonstrations tailored to the specific use cases of customers.Lead and oversee proof-of-concept (POC) initiatives and pilots, ensuring technical success and achieving clear business objectives.Create prototype pipelines and fine-tuned large language models using the Adaptive Engine to illustrate production-ready solutions.