AI Solutions Engineer

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.

About Us At Extreme Networks, we are dedicated to crafting seamless networking solutions that enable individuals and organizations to thrive in an increasingly connected world. We are on the lookout for a Director of AI Engineering to spearhead the design, development, and implementation of our cutting-edge AI-native systems.This pivotal role demands a dynamic leader who merges technical expertise with visionary thinking. You will set the strategic direction for AI initiatives, ensuring that innovative concepts transition from research to scalable, production-ready solutions. Your leadership will be crucial in launching enterprise-grade AI applications that revolutionize network design, optimization, security, and support.

About Us:Geotab Inc. is a pioneering force in the realm of IoT and connected transportation, recognized as a certified “Great Place to Work™.” Our innovative team comprises diverse talents committed to fostering business growth and enhancing the safety and sustainability of communities.At Geotab, we are at the forefront of security advancements, connecting commercial vehicles to the internet and delivering web-based analytics to empower fleet management. With our open platform and Geotab Marketplace®, featuring hundreds of third-party solutions, we empower businesses of all sizes to automate their operations by integrating vehicle data with other data assets. Processing billions of data points daily, we utilize data analytics and machine learning to boost productivity, reduce fuel consumption, enhance driver safety, and ensure compliance with regulatory changes.As our team expands, we seek individuals who are passionate, innovative, and eager to make a significant impact. Our dynamic environment offers constant challenges and opportunities for personal and professional growth. Join us for a rewarding career filled with innovation, competitive benefits, and a vibrant, inclusive workplace culture. To explore the Geotab experience, visit our blog and follow us on Instagram. Join our talent network to stay updated on job opportunities.

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.

About the Role sia is looking for a Generative AI Consultant based in Montréal. This position focuses on applying advanced AI technologies to help clients solve complex challenges. The consultant will work with teams from different backgrounds to craft strategies that use generative AI effectively. What You Will Do Collaborate with internal and client teams to design and implement generative AI solutions Develop strategies that use generative AI to address client needs Contribute expertise and insights to influence project direction and outcomes Build and maintain strong client relationships throughout project lifecycles Location This role is based in Montréal.

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 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.

Tiger Analytics stands at the forefront of AI and advanced analytics consulting, collaborating with Fortune 1000 companies to tackle their most significant business challenges. Our mission is to redefine the capabilities of AI, delivering data-driven insights that ensure a brighter future. With a diverse team of over 6,000 talented technologists and consultants spanning five continents, we develop innovative machine learning and data solutions at scale. Join us in making a meaningful impact and shaping the future of enterprise AI.We are on the lookout for a seasoned Generative AI Architect who will spearhead the design and development of expansive, cloud-native Generative AI platforms and solutions. This position demands profound architectural knowledge of Azure, secure API-driven systems, and event-driven architectures, along with the acumen to transform business requirements into scalable, production-ready Generative AI systems.The ideal applicant will possess substantial hands-on and design experience in cloud architecture, security, and distributed systems, along with the foresight to architect reliable, extensible, and enterprise-grade Generative AI solutions.

Role overview sia is hiring a Generative AI Consultant in Toronto. This role centers on designing, building, and improving generative AI models that address real business challenges. The consultant works closely with colleagues from different backgrounds to deliver solutions that matter to clients. What you will do Collaborate with cross-functional teams to develop and refine generative AI models Apply advanced AI technologies to meet specific client needs Translate complex data into practical insights for business decision-making Support clients in reaching their strategic goals through AI-driven solutions

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

At Varicent, we're not merely changing the Sales Performance Management (SPM) landscape—we're revolutionizing how businesses achieve revenue success. Our state-of-the-art SaaS solutions empower revenue leaders worldwide to craft more effective go-to-market strategies, enhance seller performance, and tap into hidden potential. Recognized as a leader in innovation, Varicent shines in the 2025 Forrester Wave Report for SPM, 2023 Ventana Research Revenue Performance Management (RPM) Value Index, Gartner Peer Insights, 2024 Gartner SPM Market Guide, and G2. Our solutions are trusted by a diverse array of global industry leaders including T-Mobile, ServiceNow, Wawanesa Bank, Shaw Industries, Moody's, Stryker, and many more. Here’s why you’ll excel at Varicent:Innovate with Purpose: Create impactful solutions for customers globally.Join Excellence: Collaborate within a diverse and innovative team.Shape the Future: Lead initiatives in revenue optimization.Grow Together: Realize your potential in a nurturing environment.Join us at Varicent—where your talent and ambition converge with limitless opportunities for success!

The Application Modernization Platform (AMP) team is addressing one of the industry’s most pressing challenges: utilizing Generative AI to convert rigid, legacy applications into modern, microservices-based architectures powered by MongoDB. A significant hurdle in transforming legacy code is ensuring that the new application’s business logic remains equivalent, functioning seamlessly and efficiently within the new MongoDB data ecosystems in a reliable and scalable manner. The success of this endeavor is heavily dependent on the pivotal tools crafted by the CodeGen team. We are in search of a seasoned Senior Lead Software Engineer who possesses a robust background in database ecosystems, the ability to reshape complex large-scale services, and team leadership skills. In this role, you will guide a talented team in creating a sophisticated product suite that harnesses GenAI capabilities. The ideal candidate is a hands-on technical leader who can influence architectural decisions, mentor engineers, and work closely with product management to deliver solutions that tackle our customers’ most challenging application transformation issues. This position is based on the North American west coast and offers a hybrid work model.

At Varicent, we are not just revolutionizing the Sales Performance Management (SPM) landscape; we are reshaping how businesses achieve revenue success. Our innovative SaaS solutions empower revenue leaders worldwide to craft intelligent go-to-market strategies, enhance seller performance, and unlock hidden potential. Varicent is recognized as a leader in innovation, acclaimed in the 2025 Forrester Wave Report for SPM, 2023 Ventana Research Revenue Performance Management (RPM) Value Index, Gartner Peer Insights, 2024 Gartner SPM Market Guide, and G2. Our solutions are trusted by a wide array of global industry leaders including T-Mobile, ServiceNow, Wawanesa Bank, Shaw Industries, Moody's, Stryker, and many others. Here’s why you will excel at Varicent:Innovate with Purpose: Create impactful solutions for clients globally.Join Excellence: Collaborate with a diverse and innovative team.Shape the Future: Lead in redefining revenue optimization.Grow Together: Discover your potential in a supportive environment.Join us at Varicent, where your skills and aspirations align with endless opportunities for success!

We are seeking dedicated Machine Learning Engineers with a passion for developing innovative systems utilizing large language models (LLMs) and real-world data. In this dynamic role, you will collaborate with clients and team members to design, prototype, and implement scalable machine learning solutions that drive results.Join our high-performing, collaborative team that prioritizes clear communication, practical execution, and continual learning. If you excel in fast-paced environments, enjoy solving complex problems, and are committed to the quality and impact of your work, we would love to hear from you.

Pulsora Inc. builds software that helps organizations manage and improve environmental, social, and governance (ESG) performance. Founded in 2021 and based in Silicon Valley, Pulsora offers a platform for compliance management, ESG metric tracking, and data analysis. The company is backed by strong financial support and serves a growing customer base. More details about Pulsora can be found at pulsesg.com. Role overview Pulsora is seeking an AI Engineer based in Canada to work remotely. This role focuses on developing and integrating Large Language Models (LLMs) and generative AI systems. Candidates should bring hands-on experience with agentic workflows, retrieval-augmented generation (RAG), and related AI/ML technologies. What you will do LLM integration and development: Design, build, and deploy applications using various LLMs, applying context optimization methods. Agentic workflows: Create and implement multi-step workflows using frameworks like LangChain and LangGraph. Retrieval-augmented generation (RAG): Develop and optimize RAG pipelines, including managing embeddings, vector databases, and reranking systems to improve response quality. Code generation tools: Use platforms such as Replit, Cursor, Google AI Studio, and GitHub Copilot (Agent mode) to generate frontend and backend code, write and run tests, and integrate results into the product with minimal manual work. LLM fine tuning: Lead fine-tuning projects (including LoRA and QLoRA) for specific domains and tasks, with a focus on efficiency and optimization. Prompt engineering: Develop and refine advanced prompts to enhance model performance, reliability, and safety. Full-stack development: Oversee implementation across both frontend and backend systems. Java integration (nice to have): Connect AI/LLM features built in Python to Java services, using Java’s multi-threading to improve performance.

About the RoleJoin Saris AI, an innovative applied AI startup located in Montreal and San Francisco, dedicated to revolutionizing the banking industry. We are addressing a massive $100 billion annual challenge that is rapidly evolving, and we are pushing the frontiers of what can be achieved with advanced multi-turn AI systems.Our mission is to resolve complex automation issues that necessitate long-context reasoning, seamless tool orchestration across legacy systems, and rigorous compliance processes—problems that lack straightforward solutions.Having successfully deployed real agents to manage genuine customer workflows, we are experiencing rapid growth and are in search of highly technical individuals eager to make a significant impact from the start.As a core member of our Forward Deployed Engineer (FDE) team, you will play a critical role in implementing strategies across various clients while remaining actively engaged in coding.Your Responsibilities Include:Develop tailored AI features, APIs, or integrations to connect product offerings with client systems.Engage directly with clients to grasp their business objectives and technical specifications.Act as a technical advisor throughout the deployment process.Lead the comprehensive development of client-specific solutions, encompassing backend, frontend, infrastructure, and deployment tasks.Rapidly create proof-of-concepts or MVPs to validate ideas with clients.Document implementation specifics and best practices for client projects.Who You Are:Proven experience in software implementation roles such as solutions engineer or solutions architect.Strong ability to establish relationships with customers, ideally within SaaS environments.Full-stack development experience, particularly with our technology stack: NodeJS, TypeScript, Python, AWS.A talent for managing high-impact customer integrations to enhance AI-driven automation processes.Why Work with Us?

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 Lead Evangelist for AI Code Generation, where your engineering expertise, exceptional communication skills, and on-camera presence will shine. In this role, you will produce compelling technical video and written content that elucidates technology topics, particularly in the realm of Generative AI. You will be pivotal in defining our technical narrative, ensuring precision across all materials, and acting as a public face of our brand through engaging video content.About codeCake.aiAt codeCake, we tackle the negative ROI associated with traditional AI code generation tools. As explained here: https://codecake.ai/does-using-ai-for-code-generation-actually-save-time/, many tools can lead to more time spent fixing code than writing it from scratch. Our solution allows you to start with an end-to-end test case highlighting missing functionalities or bugs, iterating until the test case transitions from red to green.About the CompanytestRigor creates a user-friendly end-to-end testing system, alongside codeCake to automate code generation. We champion innovation, speed, and meticulous organization.About the TeamAs we expand rapidly, we are enhancing our marketing team to align with our growth. At testRigor, marketing is not a separate entity; it is technical, hands-on, and integrated with engineering efforts. Our focus is on educating our audience, establishing trust with technical stakeholders, and maintaining high standards for accuracy and clarity.By joining our dynamic team, you will embrace ownership, clear thinking, and robust execution. If you have a knack for transforming complex concepts into engaging content and wish to play a significant role in a thriving AI company, this opportunity is for you.Your ResponsibilitiesContent Creation & StrategyLead the development of high-quality technical content including blog posts, guides, whitepapers, case studies, and scripts.Simplify complex engineering concepts into accessible and engaging content.Establish and uphold a consistent technical voice across various platforms.Evaluate content performance and refine topics, formats, and messaging for continuous improvement.Video & Public EngagementProduce educational and thought leadership videos for platforms such as YouTube, LinkedIn, and TikTok.Present with confidence on camera, supported by production resources.Transform existing written content into video-first formats when applicable.Technical Accuracy & Quality AssuranceConduct thorough quality checks on all technical content.Review, edit, and enhance written materials to maintain technical accuracy and clarity.

Please submit your CV in English and include your English proficiency level. This freelance role with Mindrift focuses on engineering and computational projects for the AI sector. Work is remote, based in Manitoba, Canada. Mindrift partners with technology firms to test and improve AI systems. This is a project-based contract, not a permanent position. What you will do Design engineering challenges that mirror real-world electrical engineering processes Create Python-based problems for calculations and simulations Develop tasks involving system design, optimization, and analysis Ensure problems require rigorous computational solutions, including numerical or iterative methods Build problems inspired by research or practical engineering scenarios Validate solutions using Python and established engineering libraries Document problem statements clearly and provide verified solutions Requirements Degree in Electrical Engineering or a related discipline Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is a plus Minimum 2 years of professional experience (applied, research, or teaching) Understanding of practical engineering constraints and approximations Excellent written English (C1 level or higher) Professional certifications (such as CMME, SAS Certifications, CAP) and international or applied project experience are advantageous Project details During active projects, typical commitment is 10-20 hours per week, depending on project needs. This is an estimate and not a guaranteed workload. Compensation Earn up to $39 per hour, based on expertise and pace. Actual rates depend on project scope and complexity. Application process Apply Pass qualifications Join a project Complete tasks Receive payment