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 …

Toloka AI seeks a civil engineer with strong Python programming skills to join as a freelance AI trainer. This contract position is fully remote and open to candidates based in Manitoba, Canada. Role overview This role combines civil engineering expertise with Python development to support projects focused on training artificial intelligence systems. The position involves collaborating with team members and contributing technical insights that influence project direction. What you will do Apply civil engineering knowledge and Python programming to AI training projects Work with team members to refine and improve AI models Offer technical insights that help shape project outcomes Location This is a remote role for candidates located in Manitoba, Canada.

We invite you to submit your CV in English and specify your English proficiency level.Mindrift connects talented specialists with project-based AI opportunities for top technology firms, concentrating on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not constitute permanent employment.Overview of the OpportunityEach project presents unique challenges, and contributors may be tasked with:Designing original computational engineering problems that reflect real-world engineering workflows;Creating problems that necessitate Python programming to perform engineering calculations and simulations;Ensuring the problems are computationally intensive and require numerical methods or iterative solutions;Developing problems centered on system design, optimization, and analysis;Creating challenges based on authentic research issues or practical applications from the engineering field;Validating solutions using Python alongside standard engineering libraries;Clearly documenting problem statements and providing verified correct answers.Ideal Candidate ProfileThis role is well-suited for engineers proficient in Python who are open to part-time, non-permanent projects. Ideally, candidates should possess:A degree in Mechanical Engineering or a related field;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries is also acceptable;A minimum of 2 years of professional experience in applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Exceptional written English skills (C1+);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.Application ProcessTo apply, follow these steps: Apply → Pass qualification checks → Join a project → Complete tasks → Get compensated.Project Time CommitmentDuring active phases, tasks are anticipated to require approximately 10-20 hours per week, depending on project needs. This estimate is not a guaranteed workload and is applicable only while the project is ongoing.CompensationContributors can earn up to $39 per hour, contingent on their expertise and contribution pace. Compensation varies by project based on scope, complexity, and required skills. Other projects on the platform may offer different earning opportunities based on their specific requirements.

Please submit your CV in English and indicate your English proficiency level. toloka-ai, together with Mindrift, offers project-based freelance work for professionals interested in AI systems related to physics and optics. This is a remote contract role for candidates based in Manitoba, Canada. The position centers on evaluating and improving AI systems by designing and solving advanced optical and physics problems. This is not a permanent staff position; work is assigned according to current project needs. Key Responsibilities Design original optical problems that reflect real-world physics research workflows Create computationally intensive challenges that go beyond manual calculations Develop problems requiring advanced reasoning in areas such as mechanics, electromagnetism, thermodynamics, and quantum mechanics Base problem scenarios on actual research or practical applications in optics and physics Clearly document each problem statement and provide accurate, verified solutions Requirements Degree in Physics (theoretical, experimental, or computational) or a closely related field Minimum of 2 years of professional experience in applied, research, or teaching roles Proficiency with numerical simulation methods Experience designing problems based on real research processes in physics Creative approach to developing problems across various physics domains Familiarity with modeling and approximation techniques in physics Strong written English skills at C1 level or above How to Join Apply Meet qualification criteria Join a project Complete assigned tasks Receive compensation Project Commitment During active project phases, contributors usually spend 10–20 hours per week. Workload may vary and is not guaranteed outside of these periods. Compensation Earnings can reach up to $35 per hour, depending on expertise and pace. Project rates vary based on complexity, scope, and required knowledge. Other projects on the platform may offer different compensation depending on their requirements.

We invite you to submit your resume in English and specify your proficiency level in the English language.At Mindrift, we specialize in connecting talented professionals with project-based opportunities in the AI sector, collaborating with leading technology companies to test, evaluate, and enhance AI systems. Please note that participation is project-based and does not constitute permanent employment.Opportunity OverviewAs a contributor, you will engage in various unique projects that may involve:Designing original computational engineering problems that accurately simulate real-world engineering workflows;Creating Python-based problems for solving engineering calculations and simulations;Ensuring problems are computationally intensive, necessitating numerical methods or iterative solutions;Developing problems related to system design, optimization, and analysis;Utilizing real research challenges or practical applications from engineering practice as the basis for problems;Verifying solutions using Python with standard engineering libraries;Clearly documenting problem statements and providing verified answers.Qualifications We SeekThis role is ideal for engineers with Python expertise who are interested in part-time, non-permanent project work. We ideally seek candidates with:A degree in Electrical Engineering or a related field;Proficiency in Python for numerical validation, with experience in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or equivalent programming languages;At least 2 years of professional experience in applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Strong written English skills (C1 or higher);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience with international or applied projects are advantageous.Process OverviewApplication → Qualification Assessment → Project Engagement → Task Completion → CompensationProject Time CommitmentDuring active phases of the project, contributors can expect to commit approximately 10–20 hours per week based on project requirements. This is an estimate and not a guaranteed workload.Compensation DetailsContributors to this project have the potential to earn up to $39 per hour, contingent on their contribution level and pace. Please be aware that compensation may differ across different projects based on their scope, complexity, and required expertise.

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.

We encourage you to submit your CV in English and specify your level of English proficiency.At Mindrift, we connect talented specialists with exciting project-based AI opportunities for top-tier tech firms. Our focus is on testing, evaluating, and enhancing AI systems. Please note that participation is project-based and does not entail permanent employment.Opportunity OverviewWhile each project presents distinct challenges, contributors may be tasked with:Creating innovative optics problems that replicate genuine physics research workflows;Ensuring that these problems are computationally demanding and cannot be solved manually within feasible timeframes;Formulating problems that necessitate complex reasoning chains across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Drawing from authentic research dilemmas or practical applications in optics and physics;Clearly documenting problem statements and providing verified correct solutions.Ideal Candidate ProfileThis role is perfect for optical engineers who are open to part-time, non-permanent engagements. The ideal candidate will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related field;At least 2 years of professional experience, whether in applied work, research, or teaching;Proficiency in numerical simulation methodologies;The capability to design problems that reflect real-world physics research practices;Innovative thinking in problem development across various physics domains;Familiarity with physics modeling and approximation methods;Excellent written English skills (C1+).Application ProcessTo apply, simply follow these steps: Apply → Pass qualification(s) → Join a project → Complete tasks → Receive payment.Project Engagement ExpectationsFor this initiative, the expected workload is approximately 10–20 hours per week during active project phases, contingent upon the specific project requirements. This is an estimate and not a guaranteed workload.Compensation StructureContributors can earn up to $35 per hour, depending on their skill level and contribution pace. Please be aware that compensation varies across projects based on their scope, complexity, and expertise required. Different projects may present varying earning opportunities.

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.

Acquia is looking for a Staff AI Engineer to help shape the future of AI-powered solutions for digital experiences. This remote role is open to candidates across Canada. Role overview This position centers on designing, developing, and implementing advanced AI technologies to improve customer experiences. The Staff AI Engineer will work closely with colleagues from various disciplines, bringing technical expertise and creative problem-solving to every project. Collaboration and impact Expect frequent collaboration with cross-functional teams, where your technical insights and ideas will influence Acquia’s products and services. The work supports Acquia’s mission to remain a leader in the digital experience platform industry.

We are seeking a resourceful, innovative, and meticulous AI Model Testing Engineer to establish, oversee, and enhance our testing infrastructure for evaluating AI models from top providers such as OpenAI, Google, and Anthropic. This position will specifically focus on testing and optimizing large language models (LLMs) and transcription models. You will work in close collaboration with our veterinary medical team to develop targeted test cases that enable veterinarians to identify and choose the most accurate and effective AI-generated outputs.Key Responsibilities:Design, develop, and maintain testing pipelines and logic primarily centered on transcription models, while also addressing other AI models like LLMs and real-time inference models.Work alongside the veterinary medical team to translate clinical scenarios into structured transcription and AI model test cases.Implement frameworks for comparative analysis, enabling veterinarians to systematically assess and select optimal AI outputs.Strive to balance and optimize accuracy, quality, speed, and cost-effectiveness in testing processes.

Tiger Analytics stands at the forefront of AI and advanced analytics consulting, enabling Fortune 1000 companies to tackle their most pressing business challenges. Our mission is to redefine the potential of AI, delivering data-driven insights for a brighter future. With a diverse team of over 6,000 experts across five continents, we create cutting-edge machine learning and data solutions at scale. Join us to make a significant impact and help shape the future of enterprise AI.We are seeking a talented Generative AI Engineer with substantial hands-on experience in designing, evaluating, and implementing advanced Generative AI systems. The ideal candidate will possess in-depth knowledge of agentic frameworks, model fine-tuning, and reinforcement learning, with a strong emphasis on reliability and mitigating hallucinations beyond prompt engineering.

Join Tiger Analytics as an Agentic AI Engineer and play a pivotal role in shaping the future of artificial intelligence. This remote position offers you the chance to work with cutting-edge technologies and collaborate with a dynamic team of professionals dedicated to innovation and excellence.In this role, you will be responsible for developing AI-driven solutions that enhance business processes, improve decision-making, and drive operational efficiency. Your expertise will contribute to the creation of intelligent systems that can adapt and learn from their environments.

Join Our Innovative TeamThis dedicated team acts as the product owner for Generative AI capabilities at PointClickCare, collaborating closely with various engineering teams across the organization to identify, develop, and support generative AI solutions. Our specialized team works hand-in-hand with pivotal partners to deliver safe, scalable, and impactful AI products. Job OverviewAs the Principal AI Platform Engineer, you will be instrumental in crafting the infrastructure that bridges AI systems with our existing products, facilitating the seamless integration of AI-generated insights into agent workflows. Key Responsibilities- Design, develop, and maintain the foundational infrastructure layer supporting Generative AI products, including model gateways, prompt/versioning stores, vector databases, and tools for LLM evaluation.- Implement robust security measures, including access controls and authentication mechanisms, that are integrated by default within the AI platform components.- Create and oversee observability, monitoring, and logging solutions tailored for Generative AI workloads and infrastructure.- Collaborate extensively with product and engineering teams to ensure seamless integration of Generative AI infrastructure with agent frameworks and downstream applications.- Optimize infrastructure for scalability, high availability, and cost-effectiveness for production workloads.

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.

About Fluent Software GroupFluent Software Group is a distinguished member of Valsoft Corporation's dynamic family of operating groups, recognized globally for its expertise in acquiring and nurturing vertical market software companies. We specialize in industries where in-depth knowledge and experience drive significant differences.At Fluent, we offer founders and their teams a lasting home, maintaining their unique cultures and momentum while providing access to essential resources, advanced technology, and proven operational frameworks that enable sustainable, long-term growth.Our MissionWe are on a mission to cultivate AI startups within our established portfolio of vertical software companies, and we require talented engineers who can swiftly transform ideas into reality.Our objective is to collaborate with Fluent’s existing businesses to develop innovative AI-powered products that can be marketed to their specialized customer bases, with the potential for expansion beyond these initial offerings. The starting point may involve enhancing existing workflows that our business software currently supports, or creating entirely new products. Ultimately, our focus is on delivering customer value by either improving operational efficiency or helping them seize untapped revenue opportunities.This endeavor is akin to startup building with a significant advantage: you will leverage established customer relationships, industry insights, existing infrastructure, and revenue to validate your work—eliminating the need to start from scratch.The OpportunityYou will collaborate closely with an AI Ventures Lead who oversees customer discovery, product strategy, and the roadmap. Your primary responsibility will be to bring their ideas to life—transforming validated concepts or initial directions into functional, demo-ready prototypes within days.This is a hands-on engineering position that carries genuine product influence. You will not only write code to specifications but will also play a vital role in shaping the development process, addressing challenges, proposing better solutions, and making swift technical decisions. You will integrate AI APIs, develop intelligent workflows, create full-stack prototypes, and partner with R&D teams from our portfolio companies to transition the best projects into production.This role is tailored for individuals aspiring to evolve into technical leadership positions. Build effectively, deliver rapidly, and watch your responsibilities expand accordingly.Note: While this role is remote, our offices in Montreal and Toronto may require occasional in-office work if you are located there.

Role overview The Founding AI Systems Engineer at Dialpad will play a central part in shaping the architecture and development of advanced AI systems for the company’s communication products. This early technical leadership role is hands-on, requiring close work with engineering, product, and research teams in Kitchener, Canada. What you will do Design and build AI-driven systems that support Dialpad’s suite of communication solutions. Collaborate with cross-functional teams to integrate new technologies into existing and future products. Offer technical expertise and help define the engineering direction for AI-related projects. Collaboration and impact This position involves both technical execution and strategic input. Expect to work alongside colleagues from diverse backgrounds, contributing to the foundation and future growth of Dialpad’s AI capabilities.

At RAVL, a premier technology advisory and engineering firm, we specialize in empowering the financial services sector by delivering innovative solutions that drive measurable ROI from technology investments. As we expand our engineering team, we are in search of talented AI Platform Engineers dedicated to developing cutting-edge AI systems for our diverse clientele. This exciting role encompasses the creation of generative AI platforms, the facilitation of agent-based architectures, and the design of scalable orchestration and integration layers tailored for enterprise-level AI. The position involves both current projects and future hiring plans, focusing on the development of secure, scalable, and production-ready AI platforms.

ABOUT XSOLLAXsolla is a leading global commerce platform that equips developers with innovative tools and services to navigate the complexities of the video game industry. From indie developers to major AAA studios, Xsolla empowers its partners to fund, distribute, market, and monetize their games effectively. With a strong belief in the future of gaming, we are dedicated to connecting opportunities and continuously providing new resources to creators. Headquartered in Los Angeles, California, we serve as the merchant of record and have successfully assisted over 1,500 game developers in reaching wider audiences and expanding their businesses globally. Our mission is to ensure developers have everything they need to thrive in the gaming landscape.Position Overview: As a Full Stack AI Engineer, you will design and develop cutting-edge applications that power generative AI platforms.Key Responsibilities:- Architect and develop full-stack applications tailored for generative AI solutions.- Create and maintain dynamic frontend applications using Next.js with integrated API routes.- Design and implement visually engaging and responsive user interfaces utilizing Tailwind CSS / Shadcn or similar CSS libraries.- Write clean, efficient, and scalable code using Python and TypeScript.- Collaborate with various libraries or frameworks based on project needs.- Stay informed about the latest trends in AI and associated technologies, frameworks, and tools (e.g., MCP, agentic systems).- Develop APIs and infrastructure supporting LLM-based features and workflows.- Work closely with frontend, ML, and product teams to deliver seamless AI experiences.- Optimize backend systems for enhanced performance, scalability, and reliability.

Job SummaryJoin Create Music Group as a Full Stack AI Engineer and play a vital role in the development of CreateOS, a revolutionary operating system designed for contemporary record labels. In this pivotal position, you will be responsible for the comprehensive design and implementation of AI-driven functionalities that enhance the intelligence of CreateOS. This encompasses creating seamless workflows, APIs, and user interfaces that facilitate interactions with AI copilots, predictive tools, and automated processes—from initial concept to live deployment.This is a high-responsibility role ideal for a systems thinker who desires to oversee the entire user experience, from the foundational data layer to the user interface. You will collaborate closely with the VP of AI & ML Engineering, operating at the crossroads of product development, engineering, and applied AI. Your immediate contributions will significantly influence three of CMG's top AI initiatives: M&A catalog valuation tools, AI-enhanced A&R discovery platforms, and automated marketing agents—all directly linked to revenue growth and competitive differentiation.Collaboration is key, as you will work hand-in-hand with the ML Engineer, who manages the intelligence layer (models, features, and evaluation). You will be responsible for the application and orchestration layer that delivers this intelligence to our users.

Our MissionAt Wave, we are dedicated to transforming Africa into the world's first cashless continent, enabling financial inclusion for millions.In 2017, over half of the population in Sub-Saharan Africa lacked access to bank accounts. We recognized the barriers—high fees, distant branches, and limited card acceptance. Many individuals were left to store their savings at home, while entrepreneurs faced exorbitant lending rates, and parents endured long waits to pay school fees in cash.Our solution is simple yet revolutionary: we create financial services that are fee-free, instantly accessible, and universally accepted. In regions where basic utilities like electricity and roads are unreliable, our mobile app, launched in Senegal in 2017, allows for cash deposits, withdrawals, and peer-to-peer transactions. Today, we proudly serve millions of users across nine countries and continue to expand rapidly.Your expertise is crucial in helping us achieve our ambitious goal of a cashless Africa.Your RoleAs an Applied AI Engineer on our Support Automation product team, you will:Connect research and production by developing AI models and agent systems that are integrated into real products.Design, assess, and enhance autonomous voice and digital agents that manage over 10 million customer interactions monthly across West Africa.Address challenging scenarios involving poor connectivity, low literacy, and languages with limited training datasets.Experiment with and integrate cutting-edge voice and text models.Take ownership of problems from discovery to production, collaborating with product and engineering leaders focused on delivering real customer impact.If you are passionate about ownership and thrive on solving complex technical challenges while building impactful infrastructure for emerging markets, we would love to hear from you.