Senior Backend Engineer | Reliant-AI | Montreal

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.

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.

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.

About League Established in 2014, League is the premier healthcare consumer experience (CX) platform, driven by artificial intelligence (AI), reaching over 63 million individuals globally while providing unparalleled personalization in the industry. Payers, providers, and consumer health partners leverage League’s platform to deliver engaging healthcare solutions that have been shown to enhance health outcomes. League has secured over $285 million in venture capital funding to date, powering the digital experiences for some of healthcare’s most trusted brands, such as Highmark Health, Manulife, Medibank, and Shoppers Drug Mart.The RoleWe are looking for an experienced Senior AI Engineer to become part of our AI & Data Group on the AI Orchestration team. This position is instrumental in designing, building, operating, and scaling the orchestration layer that fuels League’s AI-driven healthcare experiences.Positioned at the convergence of AI systems design, ML productionization, and distributed software engineering, you will harness the probabilistic capabilities of large language models and engineer them into dependable, measurable, and scalable product experiences.This hands-on senior engineering role is meant for a practitioner who transitions from prototypes to tackling the challenging task of scaling AI. You will convert cutting-edge AI innovations into dependable, secure, and compliant systems. Your contributions will significantly influence how AI is implemented across League’s digital health ecosystem—ensuring systems are scalable, observable, performant, and secure in a regulated environment.

Join the dynamic team at roofr as a Senior AI Quality Engineer, where you will play a pivotal role in ensuring the accuracy and reliability of our AI-driven solutions. As a key member of our engineering team, you will collaborate with cross-functional teams to develop and implement robust testing strategies that enhance our products' quality and performance.

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.

SurveyMonkey seeks a Senior Director of AI Engineering based in Ottawa, Canada. This senior leadership position oversees the development and implementation of AI solutions throughout the organization. Key responsibilities Guide the design and deployment of AI systems that enhance product features. Collaborate with cross-functional teams to drive AI initiatives forward. Support efforts to use AI for smarter business decisions. Collaboration This role works closely with colleagues from various backgrounds, ensuring AI projects align with company goals and deliver meaningful results.

Tiger Analytics stands at the forefront of AI and advanced analytics consulting, dedicated to helping Fortune 1000 companies tackle their most challenging business hurdles. Our mission is to redefine the potential of AI, delivering data-driven insights for a promising future. With a dynamic team of over 6,000 experts spanning five continents, we are committed to crafting innovative machine learning and data solutions on a global scale. Join us in making a significant impact and shaping the future of enterprise AI.As a Senior Agentic AI Engineer, you will be instrumental in fostering ideation, rapid prototyping, and the early-stage development of AI and GenAI initiatives. Our approach centers around customer-centricity and a human-centered perspective, guiding you to navigate the entire innovation lifecycle—from identifying problems to developing proof-of-concepts and transitioning to pilot phases. You will collaborate closely with business partners, platform engineers, product teams, and researchers.This role is highly interactive and hands-on, serving as a bridge between conceptualization and execution—utilizing platform capabilities, reference architectures, standards, and starter kits. You will significantly contribute to strategy formulation and recommendations through experimental assessments, effectively presenting insights to stakeholders with clarity and influence. Strong storytelling abilities and proficiency in creating engaging slide decks and pitch presentations are crucial for success in this position.

At Veeva Systems, we are a purpose-driven organization at the forefront of the industry cloud, empowering life sciences companies to accelerate the delivery of therapies to patients. As one of the fastest-growing SaaS companies in history, we achieved over $2 billion in revenue last fiscal year and have significant growth opportunities on the horizon.Central to our mission are our core values: Do the Right Thing, Customer Success, Employee Success, and Speed. In 2021, we made history by becoming a public benefit corporation (PBC), legally committed to balancing the interests of our customers, employees, society, and investors.As a Work Anywhere company, we offer the flexibility to work from home or in the office, allowing you to thrive in the environment that suits you best.Join us in transforming the life sciences industry and making a positive impact on our customers, employees, and communities.

Veeva Systems is a mission-driven organization and a trailblazer in industry cloud solutions, dedicated to accelerating the delivery of therapies to patients within the life sciences sector. As one of the fastest-growing SaaS companies in history, we proudly exceeded $2B in revenue last fiscal year, with significant growth opportunities on the horizon.At Veeva, our core values drive everything we do: Do the Right Thing, Customer Success, Employee Success, and Speed. We are not just another public company; we made history in 2021 by becoming a public benefit corporation (PBC), committed to balancing the needs of our customers, employees, society, and investors.As a Work Anywhere organization, we offer the flexibility to work from home or in the office, enabling you to excel in the environment that suits you best.Join us in transforming the life sciences industry, as we strive to make a meaningful impact on our customers, employees, and communities.

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.

Wisedocs is an innovative and rapidly expanding AI platform that revolutionizes the way insurance companies evaluate claims. With approximately $20 million USD in funding, over 100 team members worldwide, and more than 90 clients across North America and Australia, we are experiencing remarkable growth, doubling our revenue year after year.Founded by industry experts who have firsthand experience with the claims process, Wisedocs merges extensive domain expertise with cutting-edge AI, trained on over 100 million documents. Our platform simplifies complex medical records into clear, structured insights, supported by expert human oversight.Join our mission-driven team dedicated to developing intelligent products that simplify complexity, expedite decision-making, and create a significant impact when it matters most.Role OverviewWe are on the lookout for a Senior Machine Learning Engineer to spearhead the scaling and innovation of machine learning initiatives across the organization. In this pivotal role, you will enhance our inference and training pipelines to accommodate a higher volume of customers while refining extraction and summarization techniques across various modalities. You will foster a customer-centric approach and collaborate with fellow senior engineers to seamlessly integrate the ML system into the broader Wisedocs platform.Our Current ML EcosystemWe have three primary types of ML systems operational in production: an entity classification system, a custom reports generator, and a series of summarization models. Our entity classification has been functioning for four years and currently processes data asynchronously using a combination of models. Discover more about our initiatives at our tech blog.Recent Projects by Our ML Team:Reconstructing our inference pipeline to achieve 100x scalingDeveloping consistent parsing methods for 50,000-page PDFsDeploying our pipeline within an isolated government client environmentYour ResponsibilitiesDesigning and implementing machine learning models to analyze and interpret large sets of medical and insurance documentsCreating robust, scalable APIs using PythonCollaborating with technical stakeholders and leaders to contribute to system design and implementationEnsuring the reliability and scalability of ML systems while enforcing best practices in data engineering and model lifecycle managementWorking closely with our expert-in-the-loop teams to develop industry-leading evaluationsAdditional responsibilities will evolve as projects progress and change

SurveyMonkey seeks a Senior Director of AI Engineering to drive the development of AI solutions for its survey platform. This position is fully remote and open to candidates residing anywhere in Canada. Key Responsibilities Lead and support an engineering team dedicated to AI projects Define and implement SurveyMonkey’s AI strategy Manage the integration of AI technologies throughout the company’s services Location This role is remote and available to those based in Canada.

Jobgether is seeking a Senior Director of AI Engineering based in Canada. This leadership role centers on guiding AI engineering projects that shape the company’s technology direction. The Senior Director will oversee a multidisciplinary team of engineers and data scientists, working together to design and deliver AI solutions tailored to client needs. Role overview The Senior Director manages technical projects from concept through implementation. Collaboration across teams is key, with a focus on developing AI systems that support both immediate and long-term goals. The position also involves influencing strategic decisions to ensure AI initiatives support the broader company vision. What you will do Lead and mentor engineering and data science teams Drive the design and deployment of AI solutions for clients Align AI projects with company strategy and objectives Promote a culture of innovation and high standards within the team Requirements Extensive experience in AI technologies Strong leadership and team management skills Ability to contribute to both technical execution and strategic planning

About Rootly At Rootly, we are dedicated to becoming the preferred solution for organizations when incidents occur, enhancing reliability across the board. Our industry-leading incident management platform empowers companies globally to swiftly and effectively address incidents. We are not just revolutionizing an industry; we are pioneering a brand-new, multi-billion dollar segment and require exceptional talent to help us realize this ambitious vision. Our clients love Rootly. Fast-growing enterprises such as NVIDIA, Figma, Canva, Tripadvisor, and Squarespace depend on Rootly to streamline their critical incident management processes. They appreciate our user-friendly, enterprise-ready platform and our unique partnership model. Discover why we have earned 5-star reviews on G2. Our investors share our passion. Backed by esteemed funds including Y Combinator and prominent operators like the CTOs of Dropbox and GitHub, we are eager to share our comprehensive funding and profitability status during interviews. Transparency is integral to our culture; we conduct monthly financial reviews as a team to keep everyone informed about the company's health and share updates via our weekly changelog. About the Role We are seeking a Senior AI Engineer to spearhead the development of an innovative AI-driven reliability assistant. This role transcends traditional machine learning tasks; it focuses on LLM engineering and AI agent development, utilizing cutting-edge AI technologies (including LLMs, vector embeddings, semantic and hybrid search, and vector databases) to create a non-deterministic product that delivers significant value to engineers and accelerates incident resolution. As an early member of the engineering team at Rootly, you will have complete ownership of this initiative, playing a crucial part in shaping both the product and the company. If you excel in a dynamic environment that values rapid development, deployment, and iteration, this opportunity is perfect for you. What You'll Do Lead the creation of an AI-powered reliability assistant that extracts pertinent context from various data sources such as observability tools, GitHub, deployment histories, past incidents, and playbooks. Develop LLM-powered features that convert raw data into actionable insights for engineers managing incidents. Establish evaluation frameworks to assess AI performance in real-world scenarios.

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

At Tenstorrent, we are at the forefront of pioneering AI technology, setting new standards for performance, usability, and cost-effectiveness. As AI reshapes the technological landscape, our solutions are evolving to integrate advancements in software models, compilers, platforms, networking, and semiconductors. Our talented team has designed a high-performance RISC-V CPU from the ground up, driven by a passion for AI and a commitment to building the leading AI platform. We prioritize collaboration, curiosity, and tackling challenging problems, and we are expanding our team to include contributors of all experience levels.Become a vital part of the team transforming AI computing at Tenstorrent. You will engage with TT-Forge, our MLIR-based compiler that allows developers to optimize AI workloads across all configurations of Tenstorrent hardware using an open-source, efficient, and versatile compiler. You will be at the cutting edge of the AI hardware revolution, contributing to compiler technologies that expand the horizons of what’s achievable.This position offers a hybrid work environment based in Toronto, ON.We encourage applications from candidates with varying levels of experience. During the interview process, we will assess candidates to determine the appropriate level, and offers will align accordingly.

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

Join Cloud Chamber as a Senior AI Engineer and be part of an innovative team dedicated to enhancing the AI Systems and Archetypes for BioShock 4. Our mission is to fuse AI capabilities with storytelling, and we are searching for a bold individual to help us realize this vision. In this role, you will take the lead in developing and refining multiple AI systems, breathing life into dynamic AI Archetypes.You will collaborate with a passionate team eager to push boundaries and explore uncharted territories in AI technology within the gaming realm. If you thrive in an iterative and experimental environment and can seamlessly navigate between design and engineering, we want to hear from you!

Join MaintainX, the premier Asset and Work Intelligence platform tailored for industrial and frontline environments. Our innovative cloud-based tool, powered by IoT technology, enhances reliability, safety, and operational efficiency for physical equipment and facilities. Serving over 13,000 clients, including industry giants like Duracell, Univar Solutions Inc., Titan America, McDonald's, Brenntag, Cintas, Xylem, and Shell, we are at the forefront of operational excellence. Following our successful $150 million Series D funding round, which valued us at $2.5 billion, we are seeking a talented Senior AI Platform Engineer. In this role, you will develop the foundational systems that empower our teams to deliver AI-powered products with reliability and scale. Your responsibilities will include designing and managing internal services that standardize AI workloads in production, ensuring clear abstractions, safe defaults, and robust observability. This position emphasizes platform leverage, aiming to reduce both operational and cognitive burdens for engineers while enhancing reliability, performance, and delivery speed across our AI stack.